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+ " [452/452 1:00:28, Epoch 1/1]\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | Step | \n",
+ " Training Loss | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " | 10 | \n",
+ " 0.080900 | \n",
+ "
\n",
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+ " 0.128500 | \n",
+ "
\n",
+ " \n",
+ " | 30 | \n",
+ " 0.209800 | \n",
+ "
\n",
+ " \n",
+ " | 40 | \n",
+ " 0.281500 | \n",
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\n",
+ " \n",
+ " | 50 | \n",
+ " 0.395200 | \n",
+ "
\n",
+ " \n",
+ " | 60 | \n",
+ " 0.297500 | \n",
+ "
\n",
+ " \n",
+ " | 70 | \n",
+ " 0.294200 | \n",
+ "
\n",
+ " \n",
+ " | 80 | \n",
+ " 0.246800 | \n",
+ "
\n",
+ " \n",
+ " | 90 | \n",
+ " 0.205800 | \n",
+ "
\n",
+ " \n",
+ " | 100 | \n",
+ " 0.171900 | \n",
+ "
\n",
+ " \n",
+ " | 110 | \n",
+ " 0.098800 | \n",
+ "
\n",
+ " \n",
+ " | 120 | \n",
+ " 0.111600 | \n",
+ "
\n",
+ " \n",
+ " | 130 | \n",
+ " 0.086400 | \n",
+ "
\n",
+ " \n",
+ " | 140 | \n",
+ " 0.055100 | \n",
+ "
\n",
+ " \n",
+ " | 150 | \n",
+ " -0.014400 | \n",
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\n",
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+ " | 160 | \n",
+ " 0.089900 | \n",
+ "
\n",
+ " \n",
+ " | 170 | \n",
+ " 0.051200 | \n",
+ "
\n",
+ " \n",
+ " | 180 | \n",
+ " 0.081700 | \n",
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\n",
+ " \n",
+ " | 190 | \n",
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\n",
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\n",
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+ " | 210 | \n",
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\n",
+ " \n",
+ " | 220 | \n",
+ " 0.220300 | \n",
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\n",
+ " \n",
+ " | 230 | \n",
+ " 0.040700 | \n",
+ "
\n",
+ " \n",
+ " | 240 | \n",
+ " 0.165100 | \n",
+ "
\n",
+ " \n",
+ " | 250 | \n",
+ " 0.026300 | \n",
+ "
\n",
+ " \n",
+ " | 260 | \n",
+ " 0.096200 | \n",
+ "
\n",
+ " \n",
+ " | 270 | \n",
+ " 0.063000 | \n",
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\n",
+ " \n",
+ " | 280 | \n",
+ " 0.024200 | \n",
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\n",
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\n",
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\n",
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+ " | 310 | \n",
+ " 0.124900 | \n",
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\n",
+ " \n",
+ " | 320 | \n",
+ " 0.047900 | \n",
+ "
\n",
+ " \n",
+ " | 330 | \n",
+ " -0.000400 | \n",
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\n",
+ " \n",
+ " | 340 | \n",
+ " 0.031200 | \n",
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\n",
+ " \n",
+ " | 350 | \n",
+ " 0.006600 | \n",
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\n",
+ " \n",
+ " | 360 | \n",
+ " 0.023100 | \n",
+ "
\n",
+ " \n",
+ " | 370 | \n",
+ " 0.014700 | \n",
+ "
\n",
+ " \n",
+ " | 380 | \n",
+ " 0.007000 | \n",
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\n",
+ " \n",
+ " | 390 | \n",
+ " 0.063100 | \n",
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\n",
+ " \n",
+ " | 400 | \n",
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\n",
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+ " | 410 | \n",
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+ ]
+ },
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+ "name": "stderr",
+ "text": [
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "WARNING:math_verify.grader:Timeout during comparison\n",
+ "WARNING:math_verify.parser:Timeout during parsing: reasoning process here $a_1=1997^{1996^{1997}} = 7$ reasoning process here $a_2=7+1997^{1996^{1997}}=8$ reasoning process here $a_3=8+1997^{1996^{1997}}=9$ reasoning process here $a_4=9+1997^{1996^{1997}}=10$ reasoning process here $a_5=10+1997^{1996^{1997}}=11$ reasoning process here $a_6=11+1997^{1996^{1997}}=12$ reasoning process here $a_7=12+1997^{1996^{1997}}=13$ reasoning process here $a_8=13+1997^{1996^{1997}}=14$ reasoning process here $a_9=14+1997^{1996^{1997}}=15$ reasoning process here $a_{10}=15+1997^{1996^{1997}}=16$ \n"
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+ "name": "stdout",
+ "text": [
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+ "name": "stderr",
+ "text": [
+ "/usr/local/lib/python3.12/dist-packages/sympy/solvers/solvers.py:950: SymPyDeprecationWarning: \n",
+ "\n",
+ "Using non-Expr arguments in Add is deprecated (in this case, one of\n",
+ "the arguments has type 'Tuple').\n",
+ "\n",
+ "If you really did intend to use a multiplication or addition operation with\n",
+ "this object, use the * or + operator instead.\n",
+ "\n",
+ "See https://docs.sympy.org/latest/explanation/active-deprecations.html#non-expr-args-deprecated\n",
+ "for details.\n",
+ "\n",
+ "This has been deprecated since SymPy version 1.7. It\n",
+ "will be removed in a future version of SymPy.\n",
+ "\n",
+ " fi = Add(fi.lhs, -fi.rhs, evaluate=False)\n"
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+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "INFO 10-03 11:52:11 [block_pool.py:292] Successfully reset prefix cache\n",
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+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "INFO 10-03 11:53:27 [block_pool.py:292] Successfully reset prefix cache\n",
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+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "INFO 10-03 11:54:35 [block_pool.py:292] Successfully reset prefix cache\n",
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+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "INFO 10-03 11:55:51 [block_pool.py:292] Successfully reset prefix cache\n",
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+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "INFO 10-03 11:56:55 [block_pool.py:292] Successfully reset prefix cache\n",
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+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "INFO 10-03 11:57:58 [block_pool.py:292] Successfully reset prefix cache\n",
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+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "INFO 10-03 11:59:13 [block_pool.py:292] Successfully reset prefix cache\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "INFO 10-03 11:59:20 [block_pool.py:292] Successfully reset prefix cache\n",
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+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "INFO 10-03 12:00:04 [block_pool.py:292] Successfully reset prefix cache\n",
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+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "INFO 10-03 12:00:24 [block_pool.py:292] Successfully reset prefix cache\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "INFO 10-03 12:00:36 [block_pool.py:292] Successfully reset prefix cache\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "INFO 10-03 12:00:42 [block_pool.py:292] Successfully reset prefix cache\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "INFO 10-03 12:00:49 [block_pool.py:292] Successfully reset prefix cache\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "INFO 10-03 12:00:54 [block_pool.py:292] Successfully reset prefix cache\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "INFO 10-03 12:01:01 [block_pool.py:292] Successfully reset prefix cache\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "INFO 10-03 12:01:11 [block_pool.py:292] Successfully reset prefix cache\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "INFO 10-03 12:01:17 [block_pool.py:292] Successfully reset prefix cache\n"
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+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "INFO 10-03 12:01:22 [block_pool.py:292] Successfully reset prefix cache\n"
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+ },
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+ "text": [
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "INFO 10-03 12:01:29 [block_pool.py:292] Successfully reset prefix cache\n"
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+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "INFO 10-03 12:01:35 [block_pool.py:292] Successfully reset prefix cache\n"
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+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "INFO 10-03 12:01:44 [block_pool.py:292] Successfully reset prefix cache\n"
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+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "INFO 10-03 12:01:50 [block_pool.py:292] Successfully reset prefix cache\n"
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+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "INFO 10-03 12:01:55 [block_pool.py:292] Successfully reset prefix cache\n"
+ ]
+ },
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+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "INFO 10-03 12:02:01 [block_pool.py:292] Successfully reset prefix cache\n"
+ ]
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+ "text": [
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "INFO 10-03 12:02:09 [block_pool.py:292] Successfully reset prefix cache\n"
+ ]
+ },
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+ "text": [
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "INFO 10-03 12:02:18 [block_pool.py:292] Successfully reset prefix cache\n"
+ ]
+ },
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+ "text": [
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "INFO 10-03 12:02:29 [block_pool.py:292] Successfully reset prefix cache\n"
+ ]
+ },
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+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "INFO 10-03 12:02:35 [block_pool.py:292] Successfully reset prefix cache\n"
+ ]
+ },
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+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "WARNING:math_verify.grader:Timeout during comparison\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "INFO 10-03 12:02:45 [block_pool.py:292] Successfully reset prefix cache\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "INFO 10-03 12:02:52 [block_pool.py:292] Successfully reset prefix cache\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "INFO 10-03 12:02:57 [block_pool.py:292] Successfully reset prefix cache\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "INFO 10-03 12:03:03 [block_pool.py:292] Successfully reset prefix cache\n"
+ ]
+ },
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+ "name": "stderr",
+ "text": [
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "INFO 10-03 12:03:08 [block_pool.py:292] Successfully reset prefix cache\n"
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+ "text": [
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "INFO 10-03 12:03:20 [block_pool.py:292] Successfully reset prefix cache\n"
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+ },
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+ "text": [
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "INFO 10-03 12:03:25 [block_pool.py:292] Successfully reset prefix cache\n"
+ ]
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+ "text": [
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "INFO 10-03 12:03:38 [block_pool.py:292] Successfully reset prefix cache\n"
+ ]
+ },
+ {
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+ "name": "stderr",
+ "text": [
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "INFO 10-03 12:03:44 [block_pool.py:292] Successfully reset prefix cache\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "INFO 10-03 12:03:50 [block_pool.py:292] Successfully reset prefix cache\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "INFO 10-03 12:03:56 [block_pool.py:292] Successfully reset prefix cache\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "INFO 10-03 12:04:01 [block_pool.py:292] Successfully reset prefix cache\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "INFO 10-03 12:04:09 [block_pool.py:292] Successfully reset prefix cache\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "INFO 10-03 12:04:14 [block_pool.py:292] Successfully reset prefix cache\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "INFO 10-03 12:04:20 [block_pool.py:292] Successfully reset prefix cache\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "INFO 10-03 12:04:26 [block_pool.py:292] Successfully reset prefix cache\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "INFO 10-03 12:04:37 [block_pool.py:292] Successfully reset prefix cache\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "INFO 10-03 12:04:46 [block_pool.py:292] Successfully reset prefix cache\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "INFO 10-03 12:04:52 [block_pool.py:292] Successfully reset prefix cache\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "INFO 10-03 12:04:58 [block_pool.py:292] Successfully reset prefix cache\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "INFO 10-03 12:05:03 [block_pool.py:292] Successfully reset prefix cache\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "INFO 10-03 12:05:11 [block_pool.py:292] Successfully reset prefix cache\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "INFO 10-03 12:05:16 [block_pool.py:292] Successfully reset prefix cache\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "INFO 10-03 12:05:21 [block_pool.py:292] Successfully reset prefix cache\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "INFO 10-03 12:05:32 [block_pool.py:292] Successfully reset prefix cache\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "INFO 10-03 12:05:37 [block_pool.py:292] Successfully reset prefix cache\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "INFO 10-03 12:05:50 [block_pool.py:292] Successfully reset prefix cache\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "INFO 10-03 12:05:59 [block_pool.py:292] Successfully reset prefix cache\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "INFO 10-03 12:06:07 [block_pool.py:292] Successfully reset prefix cache\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "INFO 10-03 12:06:18 [block_pool.py:292] Successfully reset prefix cache\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "INFO 10-03 12:06:29 [block_pool.py:292] Successfully reset prefix cache\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "INFO 10-03 12:06:42 [block_pool.py:292] Successfully reset prefix cache\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "INFO 10-03 12:06:53 [block_pool.py:292] Successfully reset prefix cache\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "INFO 10-03 12:07:00 [block_pool.py:292] Successfully reset prefix cache\n",
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+ "INFO 10-03 12:07:12 [block_pool.py:292] Successfully reset prefix cache\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "INFO 10-03 12:07:23 [block_pool.py:292] Successfully reset prefix cache\n",
+ "INFO 10-03 12:07:36 [block_pool.py:292] Successfully reset prefix cache\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "INFO 10-03 12:07:41 [block_pool.py:292] Successfully reset prefix cache\n",
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+ "INFO 10-03 12:08:37 [block_pool.py:292] Successfully reset prefix cache\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "INFO 10-03 12:08:42 [block_pool.py:292] Successfully reset prefix cache\n",
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+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "INFO 10-03 12:09:31 [block_pool.py:292] Successfully reset prefix cache\n",
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+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
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+ " warnings.warn(\n"
+ ]
+ },
+ {
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+ " warnings.warn(\n"
+ ]
+ },
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+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
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+ " warnings.warn(\n"
+ ]
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+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
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+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
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+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
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+ " warnings.warn(\n"
+ ]
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+ " warnings.warn(\n"
+ ]
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+ " warnings.warn(\n"
+ ]
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+ " warnings.warn(\n"
+ ]
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+ " warnings.warn(\n"
+ ]
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+ " warnings.warn(\n"
+ ]
+ },
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+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
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+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
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+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
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+ "name": "stdout",
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+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
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+ "name": "stdout",
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+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
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+ "name": "stdout",
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+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
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+ "name": "stdout",
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+ " warnings.warn(\n"
+ ]
+ },
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+ "name": "stdout",
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+ " warnings.warn(\n"
+ ]
+ },
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+ " warnings.warn(\n"
+ ]
+ },
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+ " warnings.warn(\n"
+ ]
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+ " warnings.warn(\n"
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+ "text": [
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+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
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+ " warnings.warn(\n"
+ ]
+ },
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+ " warnings.warn(\n"
+ ]
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+ " warnings.warn(\n"
+ ]
+ },
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+ " warnings.warn(\n"
+ ]
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+ " warnings.warn(\n"
+ ]
+ },
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+ " warnings.warn(\n"
+ ]
+ },
+ {
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+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
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+ " warnings.warn(\n"
+ ]
+ },
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+ " warnings.warn(\n"
+ ]
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+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
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+ " warnings.warn(\n"
+ ]
+ },
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+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n",
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+ " warnings.warn(\n"
+ ]
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+ " warnings.warn(\n"
+ ]
+ },
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+ " warnings.warn(\n"
+ ]
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+ ]
+ },
+ {
+ "output_type": "stream",
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+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
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+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "INFO 10-03 12:32:05 [block_pool.py:292] Successfully reset prefix cache\n",
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+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "/usr/local/lib/python3.12/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "INFO 10-03 12:33:04 [block_pool.py:292] Successfully reset prefix cache\n",
+ "* Run finished. Uploading logs to Trackio (please wait...)\n"
+ ]
+ },
+ {
+ "output_type": "execute_result",
+ "data": {
+ "text/plain": [
+ "TrainOutput(global_step=452, training_loss=0.09777604969140076, metrics={'train_runtime': 3645.3922, 'train_samples_per_second': 1.987, 'train_steps_per_second': 0.124, 'total_flos': 0.0, 'train_loss': 0.09777604969140076})"
+ ]
+ },
+ "metadata": {},
+ "execution_count": 15
+ }
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "Let's save the results 💾"
+ ],
+ "metadata": {
+ "id": "z7_y1x7E1JY9"
+ }
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "trainer.save_model(training_args.output_dir)\n",
+ "trainer.push_to_hub(dataset_name=dataset_id)"
+ ],
+ "metadata": {
+ "id": "Cazf4AB2nbRT",
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 426,
+ "referenced_widgets": [
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+ " ...O-vllm-trl/tokenizer.json: 100%|##########| 11.4MB / 11.4MB "
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+ "text": [
+ "No files have been modified since last commit. Skipping to prevent empty commit.\n",
+ "WARNING:huggingface_hub.hf_api:No files have been modified since last commit. Skipping to prevent empty commit.\n"
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+ " ...O-vllm-trl/tokenizer.json: 100%|##########| 11.4MB / 11.4MB "
+ ],
+ "application/vnd.jupyter.widget-view+json": {
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+ "model_id": "87adeb2b42734c3895d3c150838b0fef"
+ }
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "execute_result",
+ "data": {
+ "text/plain": [
+ "CommitInfo(commit_url='https://huggingface.co/sergiopaniego/Qwen2-0.5B-GRPO-vllm-trl/commit/9673308cb68be4731350096fade0a79cda77dcf5', commit_message='End of training', commit_description='', oid='9673308cb68be4731350096fade0a79cda77dcf5', pr_url=None, repo_url=RepoUrl('https://huggingface.co/sergiopaniego/Qwen2-0.5B-GRPO-vllm-trl', endpoint='https://huggingface.co', repo_type='model', repo_id='sergiopaniego/Qwen2-0.5B-GRPO-vllm-trl'), pr_revision=None, pr_num=None)"
+ ],
+ "application/vnd.google.colaboratory.intrinsic+json": {
+ "type": "string"
+ }
+ },
+ "metadata": {},
+ "execution_count": 16
+ }
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "In the HF Space, you can review the training results tracked by `trackio`. The metrics look very promising!\n"
+ ],
+ "metadata": {
+ "id": "CqUFU6t71iNi"
+ }
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "The setup shown here runs on a single GPU, yet we can already see how vLLM boosts training efficiency. With vLLM enabled, training reaches **0.07 it/s**, whereas disabling it (`use_vllm=False`) drops performance to **0.04 it/s**—an immediate **~75% speedup** even in this basic configuration. \n",
+ "\n",
+ "And this is just the beginning: we haven't yet explored more optimal setups. For further efficiency gains, you can experiment with training parameters like `max_completion_length`, `num_generations`, or `max_prompt_length`, and scale across multiple GPUs to fully leverage vLLM's high-throughput generation."
+ ],
+ "metadata": {
+ "id": "RCuQUEemG3p4"
+ }
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "## 4. Evaluating Different Training Configurations\n",
+ "\n",
+ "After training a model efficiently with a single configuration, it's insightful to explore other possible configurations to understand how training performance changes when using vLLM versus not using it. The table below shows various configurations along with their corresponding `it/s` (iterations per second), highlighting the performance impact of vLLM. \n",
+ "\n",
+ "These results were obtained using a Colab setup, so you can expect significantly higher gains when scaling to more advanced environments with multiple GPUs or distributed nodes.\n"
+ ],
+ "metadata": {
+ "id": "i0PXwdNgjqsj"
+ }
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "| `max_completion_length` | `num_generations` | `max_prompt_length` | `vLLM` | `it/s` |\n",
+ "|----------------------|----------------|-----------------|------|------|\n",
+ "| 64 | 4 | 128 | ✅ | 0.14 |\n",
+ "| 64 | 4 | 128 | ❌ | 0.12 |\n",
+ "| 64 | 8 | 128 | ✅ | 0.14 |\n",
+ "| 64 | 8 | 128 | ❌ | 0.12 |\n",
+ "| 128 | 8 | 128 | ✅ | 0.13 |\n",
+ "| 128 | 8 | 128 | ❌ | 0.09 |\n",
+ "| 128 | 16 | 128 | ✅ | 0.13 |\n",
+ "| 128 | 16 | 128 | ❌ | 0.09 |\n",
+ "| 256 | 8 | 128 | ✅ | 0.10 |\n",
+ "| 256 | 8 | 128 | ❌ | 0.06 |\n",
+ "| 256 | 16 | 128 | ✅ | 0.10 |\n",
+ "| 256 | 16 | 128 | ❌ | 0.06 |\n",
+ "| 512 | 8 | 128 | ✅ | 0.07 |\n",
+ "| 512 | 8 | 128 | ❌ | 0.04 |\n",
+ "| 512 | 16 | 128 | ✅ | 0.07 |\n",
+ "| 512 | 16 | 128 | ❌ | 0.04 |\n",
+ "| 1024 | 16 | 128 | ✅ | 0.04 |\n",
+ "| 1024 | 16 | 128 | ❌ | 0.02 |\n",
+ "| 1024 | 32 | 128 | ✅ | 0.04 |\n",
+ "| 1024 | 32 | 128 | ❌ | 0.02 |"
+ ],
+ "metadata": {
+ "id": "9lcApSmukdjn"
+ }
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "From the table above, several observations can be made:\n",
+ "\n",
+ "- As `max_completion_length` increases, the `it/s` naturally decreases, which is expected due to the larger computation per iteration. \n",
+ "- vLLM consistently provides faster training, and the performance gain becomes more significant as we scale to larger `max_completion_length` values. \n",
+ "- The `num_generations` parameter has minimal impact on `it/s`, showing that parallel generation does not significantly affect throughput in this setup. \n",
+ "- Although `max_prompt_length` was kept constant in these experiments, similar trends would apply if it were increased: higher values would reduce `it/s` depending on the dataset characteristics, just like `max_completion_length`.\n"
+ ],
+ "metadata": {
+ "id": "xOg20gROuk_z"
+ }
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "## 5. Check the Model Performance\n",
+ "\n",
+ "We've kept things simple so far, but now let's check if the model has already learned to reason. We'll load the saved model and run an evaluation on a test sample."
+ ],
+ "metadata": {
+ "id": "PGPNqMlfurC9"
+ }
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "from transformers import AutoModelForCausalLM, AutoTokenizer\n",
+ "\n",
+ "model_id = \"sergiopaniego/Qwen2-0.5B-GRPO-vllm-trl\"\n",
+ "trained_model = AutoModelForCausalLM.from_pretrained(\n",
+ " model_id,\n",
+ " dtype=\"auto\",\n",
+ " device_map=\"auto\",\n",
+ ")\n",
+ "trained_tokenizer = AutoTokenizer.from_pretrained(model_id)"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 305,
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+ },
+ "id": "4ohoSJYy9AZf",
+ "outputId": "0f04bff7-1511-4d4d-8b61-1fa354a30f1b"
+ },
+ "execution_count": null,
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ "adapter_config.json: 0%| | 0.00/857 [00:00 and tags, respectively, i.e., reasoning process here answer here ', 'role': 'system'}, {'content': \"In 1988, a person's age was equal to the sum of the digits of their birth year. How old was this person?\", 'role': 'user'}]\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "We'll create a function to interact with the model. In addition to generating the answer, we'll measure the inference duration and count the number of generated tokens. This will give us insights into how much the model has reasoned during generation."
+ ],
+ "metadata": {
+ "id": "Y1S11SHZuviW"
+ }
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "import time\n",
+ "import torch\n",
+ "\n",
+ "def generate_with_reasoning(prompt):\n",
+ " # Build the prompt from the dataset\n",
+ " prompt = \" \".join(entry['content'] for entry in prompt)\n",
+ "\n",
+ " # Tokenize and move to the same device as the model\n",
+ " inputs = trained_tokenizer(prompt, return_tensors=\"pt\").to(trained_model.device)\n",
+ "\n",
+ " # Generate text without gradients\n",
+ " start_time = time.time()\n",
+ " with torch.no_grad():\n",
+ " output_ids = trained_model.generate(**inputs, max_length=500)\n",
+ " end_time = time.time()\n",
+ "\n",
+ " # Decode and extract model response\n",
+ " generated_text = trained_tokenizer.decode(output_ids[0], skip_special_tokens=True)\n",
+ "\n",
+ " # Get inference time\n",
+ " inference_duration = end_time - start_time\n",
+ "\n",
+ " # Get number of generated tokens\n",
+ " num_input_tokens = inputs['input_ids'].shape[1]\n",
+ " num_generated_tokens = output_ids.shape[1] - num_input_tokens\n",
+ "\n",
+ " return generated_text, inference_duration, num_generated_tokens"
+ ],
+ "metadata": {
+ "id": "X7ujV-wi9IaQ"
+ },
+ "execution_count": null,
+ "outputs": []
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "Let's generate the answer for that test sample!"
+ ],
+ "metadata": {
+ "id": "p6Oav0X2uywO"
+ }
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "prompt = test_dataset['prompt'][0]\n",
+ "generated_text, inference_duration, num_generated_tokens = generate_with_reasoning(prompt)\n",
+ "print(generated_text)"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "mP1QgN5o9JmS",
+ "outputId": "802652f3-fca2-4e4a-8afb-6ca3e0119909"
+ },
+ "execution_count": null,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "A conversation between User and Assistant. The user asks a question, and the Assistant solves it. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within and tags, respectively, i.e., reasoning process here answer here In 1988, a person's age was equal to the sum of the digits of their birth year. How old was this person?< think > Reasoning process: Let's assume that the person's birth year is x. Then the age would be y = x + (x/10). We know that the age is equal to the sum of the digits of the birth year, so we can write y = 10y. Solving for y, we get y = 10x - 10, or y = x/3. Since the age must be an integer, we need to find the smallest integer value for x such that x/3 is greater than or equal to 1988. So, we have x = 1988 * 3 = 5964. Substituting this into our equation for y, we get y = 5964/3 = 1928. Therefore, this person's age was 1928 years old. < think > answer 1928 \n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "The model already demonstrates the ability to generate the correct `` and `` tags, even though the solution itself is incorrect.\n",
+ "\n",
+ "Given the inference time and the number of generated tokens, this approach shows potential benefits:"
+ ],
+ "metadata": {
+ "id": "_3zGktsqu01H"
+ }
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "print(f\"Inference time: {inference_duration:.2f} seconds\")\n",
+ "print(f\"Generated tokens: {num_generated_tokens}\")"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "LttGsjeR9LnQ",
+ "outputId": "2ef55d4b-bd12-4831-f271-a20fb552c666"
+ },
+ "execution_count": null,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Inference time: 7.71 seconds\n",
+ "Generated tokens: 208\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "Let's review the generated response to better visualize this behavior:"
+ ],
+ "metadata": {
+ "id": "EL1s7Z-wu280"
+ }
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "prompt_text = \" \".join(entry['content'] for entry in prompt)\n",
+ "response_text = generated_text[len(prompt_text):].strip()\n",
+ "print(response_text)"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "7NYp9Bh79QyG",
+ "outputId": "d1e4956f-0eb8-4bc0-8564-e7b1de769f61"
+ },
+ "execution_count": null,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "< think > Reasoning process: Let's assume that the person's birth year is x. Then the age would be y = x + (x/10). We know that the age is equal to the sum of the digits of the birth year, so we can write y = 10y. Solving for y, we get y = 10x - 10, or y = x/3. Since the age must be an integer, we need to find the smallest integer value for x such that x/3 is greater than or equal to 1988. So, we have x = 1988 * 3 = 5964. Substituting this into our equation for y, we get y = 5964/3 = 1928. Therefore, this person's age was 1928 years old. < think > answer 1928 \n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "We observe that the model shows some reasoning capabilities, although they are quite limited. This is likely due to using a small model and a very basic training setup, designed more for educational purposes than for maximizing performance. \n",
+ "\n",
+ "For better results, using a larger model, training on the full dataset, and adjusting the configuration to generate more and longer completions would significantly improve the model's final performance."
+ ],
+ "metadata": {
+ "id": "GFguIRJCu5OF"
+ }
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "## 5. Continuing Your Learning Journey 🧑🎓\n",
+ "\n",
+ "This notebook is just the beginning of exploring **online training methods** with TRL, including **GRPO** and other online trainers, now enhanced with **vLLM** for faster, more efficient generation. \n",
+ "\n",
+ "If you’re eager to dive deeper, check out the resources linked throughout this notebook, as well as the following materials:\n",
+ "\n",
+ "- [vLLM Documentation](https://docs.vllm.ai/en/latest/) \n",
+ "- [TRL vLLM Integration Guide](https://huggingface.co/docs/trl/main/en/vllm_integration) \n",
+ "- [DeepSeek-R1 Repository](https://github.com/deepseek-ai/DeepSeek-R1/) \n",
+ "- [DeepSeek-R1 Paper](https://github.com/deepseek-ai/DeepSeek-R1/blob/main/DeepSeek_R1.pdf) \n",
+ "- [Open Reproduction of DeepSeek-R1](https://github.com/huggingface/open-r1/) \n",
+ "- [GRPO TRL Trainer Documentation](https://huggingface.co/docs/trl/main/en/grpo_trainer) \n",
+ "- [Phil Schmid's DeepSeek-R1 Blog Post](https://www.philschmid.de/deepseek-r1) \n",
+ "- [Phil Schmid's Mini DeepSeek-R1 Blog Post](https://www.philschmid.de/mini-deepseek-r1) \n",
+ "- [Illustrated DeepSeek-R1](https://newsletter.languagemodels.co/p/the-illustrated-deepseek-r1) \n",
+ "- [The LM Book: DeepSeek-R1 Article](https://thelmbook.com/articles/#!./DeepSeek-R1.md) \n",
+ "\n",
+ "Keep exploring, experimenting, and learning!\n",
+ "\n",
+ "\n",
+ "\n"
+ ],
+ "metadata": {
+ "id": "Uh4inHFUFIku"
+ }
+ }
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diff --git a/notebooks/en/index.md b/notebooks/en/index.md
index 0137ad9f..7de3031d 100644
--- a/notebooks/en/index.md
+++ b/notebooks/en/index.md
@@ -7,11 +7,11 @@ applications and solving various machine learning tasks using open-source tools
Check out the recently added notebooks:
+- [Efficient Online Training with GRPO and vLLM in TRL](grpo_vllm_online_training)
- [Fine-tuning LLMs for Function Calling with the xLAM Dataset](function_calling_fine_tuning_llms_on_xlam)
- [Post training an VLM for reasoning with GRPO using TRL](fine_tuning_vlm_grpo_trl)
- [TRL GRPO Reasoning with Advanced Reward](trl_grpo_reasoning_advanced_reward)
- [Fine-Tuning a Vision Language Model with TRL using MPO](fine_tuning_vlm_mpo)
-- [Fine tuning a VLM for Object Detection Grounding using TRL](fine_tuning_vlm_object_detection_grounding)
You can also check out the notebooks in the cookbook's [GitHub repo](https://github.com/huggingface/cookbook).