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VF_MatSciBERT_ST_1800

Token Classification
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End of training

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  1. README.md +15 -15
  2. model.safetensors +1 -1
  3. runs/Sep05_17-15-50_6c9c51bae306/events.out.tfevents.1725556552.6c9c51bae306.758.0 +2 -2
README.md CHANGED
@@ -21,11 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [m3rg-iitd/matscibert](https://huggingface.co/m3rg-iitd/matscibert) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1571
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- - Precision: 0.9763
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- - Recall: 0.9819
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- - F1: 0.9791
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- - Accuracy: 0.9755
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  ## Model description
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@@ -56,16 +56,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | 0.1492 | 1.0 | 569 | 0.0954 | 0.9709 | 0.9754 | 0.9732 | 0.9704 |
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- | 0.0548 | 2.0 | 1138 | 0.0934 | 0.9726 | 0.9785 | 0.9756 | 0.9726 |
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- | 0.0348 | 3.0 | 1707 | 0.1098 | 0.9749 | 0.9801 | 0.9775 | 0.9738 |
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- | 0.0213 | 4.0 | 2276 | 0.1268 | 0.9739 | 0.9813 | 0.9776 | 0.9735 |
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- | 0.0141 | 5.0 | 2845 | 0.1326 | 0.9748 | 0.9806 | 0.9777 | 0.9740 |
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- | 0.0093 | 6.0 | 3414 | 0.1402 | 0.9750 | 0.9808 | 0.9779 | 0.9743 |
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- | 0.0062 | 7.0 | 3983 | 0.1541 | 0.9741 | 0.9805 | 0.9773 | 0.9733 |
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- | 0.0033 | 8.0 | 4552 | 0.1682 | 0.9741 | 0.9814 | 0.9777 | 0.9732 |
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- | 0.0026 | 9.0 | 5121 | 0.1638 | 0.9749 | 0.9821 | 0.9785 | 0.9743 |
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- | 0.0021 | 10.0 | 5690 | 0.1571 | 0.9763 | 0.9819 | 0.9791 | 0.9755 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [m3rg-iitd/matscibert](https://huggingface.co/m3rg-iitd/matscibert) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1894
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+ - Precision: 0.7360
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+ - Recall: 0.7770
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+ - F1: 0.7560
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+ - Accuracy: 0.9556
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | No log | 1.0 | 30 | 0.3205 | 0.4448 | 0.2093 | 0.2847 | 0.9095 |
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+ | No log | 2.0 | 60 | 0.2400 | 0.6346 | 0.6075 | 0.6208 | 0.9376 |
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+ | No log | 3.0 | 90 | 0.2236 | 0.6764 | 0.7010 | 0.6885 | 0.9450 |
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+ | No log | 4.0 | 120 | 0.1959 | 0.6664 | 0.7127 | 0.6888 | 0.9453 |
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+ | No log | 5.0 | 150 | 0.1958 | 0.7177 | 0.7514 | 0.7342 | 0.9519 |
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+ | No log | 6.0 | 180 | 0.1802 | 0.7180 | 0.7666 | 0.7415 | 0.9541 |
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+ | No log | 7.0 | 210 | 0.1911 | 0.7316 | 0.7668 | 0.7488 | 0.9546 |
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+ | No log | 8.0 | 240 | 0.1914 | 0.7384 | 0.7711 | 0.7544 | 0.9554 |
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+ | No log | 9.0 | 270 | 0.1873 | 0.7366 | 0.7745 | 0.7551 | 0.9556 |
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+ | No log | 10.0 | 300 | 0.1894 | 0.7360 | 0.7770 | 0.7560 | 0.9556 |
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  ### Framework versions
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