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fresh-2-layer-medmcqa50000-distill-of-fresh-2-layer-gpqa_EVAL_gpqa

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  1. README.md +24 -38
  2. pytorch_model.bin +1 -1
  3. tokenizer.json +2 -16
README.md CHANGED
@@ -15,8 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 4.6855
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- - Accuracy: 0.7828
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  ## Model description
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@@ -48,42 +48,28 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 0.06 | 100 | 14.3260 | 0.3333 |
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- | No log | 0.13 | 200 | 12.1073 | 0.4899 |
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- | No log | 0.19 | 300 | 11.0435 | 0.5101 |
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- | No log | 0.26 | 400 | 9.6543 | 0.5808 |
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- | 3.466 | 0.32 | 500 | 9.4758 | 0.5960 |
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- | 3.466 | 0.38 | 600 | 8.5372 | 0.6263 |
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- | 3.466 | 0.45 | 700 | 8.3611 | 0.6566 |
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- | 3.466 | 0.51 | 800 | 7.3273 | 0.6919 |
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- | 3.466 | 0.58 | 900 | 8.0522 | 0.6414 |
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- | 1.1408 | 0.64 | 1000 | 7.5545 | 0.6515 |
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- | 1.1408 | 0.7 | 1100 | 6.9424 | 0.7020 |
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- | 1.1408 | 0.77 | 1200 | 6.5618 | 0.6869 |
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- | 1.1408 | 0.83 | 1300 | 6.1301 | 0.7121 |
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- | 1.1408 | 0.9 | 1400 | 7.3708 | 0.7121 |
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- | 0.7156 | 0.96 | 1500 | 5.9791 | 0.7172 |
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- | 0.7156 | 1.02 | 1600 | 6.0925 | 0.7172 |
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- | 0.7156 | 1.09 | 1700 | 6.1228 | 0.7121 |
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- | 0.7156 | 1.15 | 1800 | 6.2473 | 0.7222 |
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- | 0.7156 | 1.22 | 1900 | 6.3483 | 0.7172 |
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- | 0.4805 | 1.28 | 2000 | 5.6959 | 0.7071 |
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- | 0.4805 | 1.34 | 2100 | 5.5578 | 0.7424 |
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- | 0.4805 | 1.41 | 2200 | 5.2385 | 0.7626 |
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- | 0.4805 | 1.47 | 2300 | 5.6583 | 0.7374 |
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- | 0.4805 | 1.54 | 2400 | 5.1442 | 0.7475 |
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- | 0.3914 | 1.6 | 2500 | 5.0866 | 0.7677 |
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- | 0.3914 | 1.66 | 2600 | 5.0077 | 0.7626 |
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- | 0.3914 | 1.73 | 2700 | 4.6813 | 0.7778 |
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- | 0.3914 | 1.79 | 2800 | 4.8810 | 0.7677 |
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- | 0.3914 | 1.86 | 2900 | 4.6941 | 0.7626 |
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- | 0.3368 | 1.92 | 3000 | 4.8332 | 0.7727 |
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- | 0.3368 | 1.98 | 3100 | 4.6855 | 0.7828 |
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- | 0.3368 | 2.05 | 3200 | 4.7359 | 0.7778 |
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- | 0.3368 | 2.11 | 3300 | 4.5992 | 0.7778 |
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- | 0.3368 | 2.18 | 3400 | 4.5406 | 0.7677 |
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- | 0.2459 | 2.24 | 3500 | 4.8480 | 0.7828 |
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- | 0.2459 | 2.3 | 3600 | 4.6215 | 0.7677 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 6.3481
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+ - Accuracy: 0.7677
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 0.06 | 100 | 14.8949 | 0.4141 |
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+ | No log | 0.13 | 200 | 11.8675 | 0.4697 |
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+ | No log | 0.19 | 300 | 10.6894 | 0.5556 |
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+ | No log | 0.26 | 400 | 9.8194 | 0.5404 |
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+ | 3.5537 | 0.32 | 500 | 9.0542 | 0.5556 |
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+ | 3.5537 | 0.38 | 600 | 9.0155 | 0.6061 |
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+ | 3.5537 | 0.45 | 700 | 8.1758 | 0.6768 |
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+ | 3.5537 | 0.51 | 800 | 7.6983 | 0.6970 |
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+ | 3.5537 | 0.58 | 900 | 7.6211 | 0.6818 |
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+ | 1.0971 | 0.64 | 1000 | 7.1361 | 0.6919 |
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+ | 1.0971 | 0.7 | 1100 | 7.1059 | 0.6717 |
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+ | 1.0971 | 0.77 | 1200 | 6.9443 | 0.6919 |
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+ | 1.0971 | 0.83 | 1300 | 6.7089 | 0.7273 |
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+ | 1.0971 | 0.9 | 1400 | 6.5064 | 0.7172 |
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+ | 0.699 | 0.96 | 1500 | 5.9161 | 0.7273 |
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+ | 0.699 | 1.02 | 1600 | 6.6374 | 0.7525 |
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+ | 0.699 | 1.09 | 1700 | 6.3481 | 0.7677 |
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+ | 0.699 | 1.15 | 1800 | 5.9385 | 0.7323 |
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+ | 0.699 | 1.22 | 1900 | 6.2063 | 0.7374 |
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+ | 0.4733 | 1.28 | 2000 | 5.9173 | 0.7273 |
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+ | 0.4733 | 1.34 | 2100 | 5.8466 | 0.7626 |
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+ | 0.4733 | 1.41 | 2200 | 5.6702 | 0.7374 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
pytorch_model.bin CHANGED
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