| /opt/conda/lib/python3.11/site-packages/torch/utils/_pytree.py:185: FutureWarning: optree is installed but the version is too old to support PyTorch Dynamo in C++ pytree. C++ pytree support is disabled. Please consider upgrading optree using `python3 -m pip install --upgrade 'optree>=0.13.0'`. |
| warnings.warn( |
| ============================================================ |
| OPEN-ENDED EVAL: Base vs SFT (Multi-GPU) |
| Base model: /workspace/rl4phyx/models/Qwen2.5-VL-3B-Instruct |
| SFT model: /workspace/rl4phyx/RL4Phyx/SFT/checkpoints/lora_math_f/merged |
| Base GPUs: [] |
| SFT GPUs: [0, 1, 2, 3, 4, 5, 6, 7] |
| ============================================================ |
|
|
| Loaded 1533 test samples |
| Mechanics: 276 |
| Electromagnetism: 275 |
| Thermodynamics: 255 |
| Waves/Acoustics: 253 |
| Optics: 252 |
| Modern Physics: 222 |
|
|
| >>> SKIPPING BASE model (BASE_GPUS is empty) |
|
|
| >>> Starting SFT model inference... |
| /opt/conda/lib/python3.11/site-packages/torch/utils/_pytree.py:185: FutureWarning: optree is installed but the version is too old to support PyTorch Dynamo in C++ pytree. C++ pytree support is disabled. Please consider upgrading optree using `python3 -m pip install --upgrade 'optree>=0.13.0'`. |
| warnings.warn( |
| /opt/conda/lib/python3.11/site-packages/torch/utils/_pytree.py:185: FutureWarning: optree is installed but the version is too old to support PyTorch Dynamo in C++ pytree. C++ pytree support is disabled. Please consider upgrading optree using `python3 -m pip install --upgrade 'optree>=0.13.0'`. |
| warnings.warn( |
| /opt/conda/lib/python3.11/site-packages/torch/utils/_pytree.py:185: FutureWarning: optree is installed but the version is too old to support PyTorch Dynamo in C++ pytree. C++ pytree support is disabled. Please consider upgrading optree using `python3 -m pip install --upgrade 'optree>=0.13.0'`. |
| warnings.warn( |
| /opt/conda/lib/python3.11/site-packages/torch/utils/_pytree.py:185: FutureWarning: optree is installed but the version is too old to support PyTorch Dynamo in C++ pytree. C++ pytree support is disabled. Please consider upgrading optree using `python3 -m pip install --upgrade 'optree>=0.13.0'`. |
| warnings.warn( |
| /opt/conda/lib/python3.11/site-packages/torch/utils/_pytree.py:185: FutureWarning: optree is installed but the version is too old to support PyTorch Dynamo in C++ pytree. C++ pytree support is disabled. Please consider upgrading optree using `python3 -m pip install --upgrade 'optree>=0.13.0'`. |
| warnings.warn( |
| /opt/conda/lib/python3.11/site-packages/torch/utils/_pytree.py:185: FutureWarning: optree is installed but the version is too old to support PyTorch Dynamo in C++ pytree. C++ pytree support is disabled. Please consider upgrading optree using `python3 -m pip install --upgrade 'optree>=0.13.0'`. |
| warnings.warn( |
| /opt/conda/lib/python3.11/site-packages/torch/utils/_pytree.py:185: FutureWarning: optree is installed but the version is too old to support PyTorch Dynamo in C++ pytree. C++ pytree support is disabled. Please consider upgrading optree using `python3 -m pip install --upgrade 'optree>=0.13.0'`. |
| warnings.warn( |
| /opt/conda/lib/python3.11/site-packages/torch/utils/_pytree.py:185: FutureWarning: optree is installed but the version is too old to support PyTorch Dynamo in C++ pytree. C++ pytree support is disabled. Please consider upgrading optree using `python3 -m pip install --upgrade 'optree>=0.13.0'`. |
| warnings.warn( |
| [sft][GPU 2] Loading model... |
| Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.48, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`. |
| [sft][GPU 4] Loading model... |
| Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.48, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`. |
| [sft][GPU 7] Loading model... |
| Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.48, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`. |
| [sft][GPU 5] Loading model... |
| [sft][GPU 3] Loading model... |
| Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.48, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`. |
| Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.48, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`. |
| [sft][GPU 0] Loading model... |
| Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.48, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`. |
| [sft][GPU 6] Loading model... |
| Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.48, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`. |
| [sft][GPU 1] Loading model... |
| Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.48, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`. |
| The argument `trust_remote_code` is to be used with Auto classes. It has no effect here and is ignored. |
|
Loading checkpoint shards: 0%| | 0/2 [00:00<?, ?it/s]The argument `trust_remote_code` is to be used with Auto classes. It has no effect here and is ignored. |
| The argument `trust_remote_code` is to be used with Auto classes. It has no effect here and is ignored. |
| The argument `trust_remote_code` is to be used with Auto classes. It has no effect here and is ignored. |
| The argument `trust_remote_code` is to be used with Auto classes. It has no effect here and is ignored. |
| The argument `trust_remote_code` is to be used with Auto classes. It has no effect here and is ignored. |
| The argument `trust_remote_code` is to be used with Auto classes. It has no effect here and is ignored. |
| The argument `trust_remote_code` is to be used with Auto classes. It has no effect here and is ignored. |
|
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| [sft][GPU 2] Model loaded. Processing 192 samples. |
|
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|
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Loading checkpoint shards: 100%|██████████| 2/2 [00:03<00:00, 1.92s/it] |
| [sft][GPU 5] Model loaded. Processing 192 samples. |
| [sft][GPU 4] Model loaded. Processing 192 samples. |
|
Loading checkpoint shards: 100%|██████████| 2/2 [00:03<00:00, 1.72s/it]
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|
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Loading checkpoint shards: 100%|██████████| 2/2 [00:03<00:00, 1.97s/it] |
| [sft][GPU 1] Model loaded. Processing 192 samples. |
| [sft][GPU 6] Model loaded. Processing 192 samples. |
|
Loading checkpoint shards: 100%|██████████| 2/2 [00:04<00:00, 1.80s/it]
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|
Loading checkpoint shards: 100%|██████████| 2/2 [00:04<00:00, 1.80s/it]
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| [sft][GPU 3] Model loaded. Processing 192 samples. |
| [sft][GPU 7] Model loaded. Processing 189 samples. |
|
Loading checkpoint shards: 100%|██████████| 2/2 [00:04<00:00, 1.95s/it]
Loading checkpoint shards: 100%|██████████| 2/2 [00:04<00:00, 2.18s/it] |
| [sft][GPU 0] Model loaded. Processing 192 samples. |
| [sft][GPU 6] 20/192 done |
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| [sft][GPU 5] Saved 192 results to /workspace/rl4phyx/RL4Phyx/SFT/sft_eval_footprint/inference_results_lora_math_f_gpu5.jsonl |
| [sft][GPU 0] 180/192 done |
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| [sft][GPU 0] Saved 192 results to /workspace/rl4phyx/RL4Phyx/SFT/sft_eval_footprint/inference_results_lora_math_f_gpu0.jsonl |
| [sft][GPU 4] 192/192 done |
| [sft][GPU 4] Saved 192 results to /workspace/rl4phyx/RL4Phyx/SFT/sft_eval_footprint/inference_results_lora_math_f_gpu4.jsonl |
| [sft][GPU 2] 192/192 done |
| [sft][GPU 2] Saved 192 results to /workspace/rl4phyx/RL4Phyx/SFT/sft_eval_footprint/inference_results_lora_math_f_gpu2.jsonl |
| [sft][GPU 3] 192/192 done |
| [sft][GPU 3] Saved 192 results to /workspace/rl4phyx/RL4Phyx/SFT/sft_eval_footprint/inference_results_lora_math_f_gpu3.jsonl |
| [sft][GPU 6] 192/192 done |
| [sft][GPU 6] Saved 192 results to /workspace/rl4phyx/RL4Phyx/SFT/sft_eval_footprint/inference_results_lora_math_f_gpu6.jsonl |
| [sft][GPU 1] 192/192 done |
| [sft][GPU 1] Saved 192 results to /workspace/rl4phyx/RL4Phyx/SFT/sft_eval_footprint/inference_results_lora_math_f_gpu1.jsonl |
| [sft][GPU 7] 180/189 done |
| [sft][GPU 7] 189/189 done |
| [sft][GPU 7] Saved 189 results to /workspace/rl4phyx/RL4Phyx/SFT/sft_eval_footprint/inference_results_lora_math_f_gpu7.jsonl |
|
|
| ============================================================ |
| INFERENCE COMPLETE in 84.9 min |
| Base results: 0 → /workspace/rl4phyx/RL4Phyx/SFT/sft_eval_footprint/inference_results_base.jsonl |
| SFT results: 1533 → /workspace/rl4phyx/RL4Phyx/SFT/sft_eval_footprint/inference_results_lora_math_f.jsonl |
| ============================================================ |
|
|
