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nlp_til2

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  1. README.md +23 -23
  2. model.safetensors +1 -1
  3. runs/May16_16-15-35_instance-358/events.out.tfevents.1715876135.instance-358 +2 -2
README.md CHANGED
@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [casual/nlp_til2](https://huggingface.co/casual/nlp_til2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0128
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- - Precision: 0.9739
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- - Recall: 0.9708
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- - F1: 0.9723
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- - Accuracy: 0.9960
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  ## Model description
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@@ -55,24 +55,24 @@ 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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- | No log | 1.0 | 219 | 0.0548 | 0.8595 | 0.8533 | 0.8564 | 0.9777 |
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- | No log | 2.0 | 438 | 0.0538 | 0.8705 | 0.8560 | 0.8632 | 0.9788 |
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- | 0.0699 | 3.0 | 657 | 0.0531 | 0.8735 | 0.8626 | 0.8680 | 0.9785 |
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- | 0.0699 | 4.0 | 876 | 0.0459 | 0.8872 | 0.8833 | 0.8853 | 0.9816 |
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- | 0.0635 | 5.0 | 1095 | 0.0437 | 0.8876 | 0.8934 | 0.8905 | 0.9829 |
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- | 0.0635 | 6.0 | 1314 | 0.0358 | 0.9093 | 0.9001 | 0.9047 | 0.9859 |
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- | 0.0567 | 7.0 | 1533 | 0.0333 | 0.9170 | 0.9111 | 0.9140 | 0.9874 |
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- | 0.0567 | 8.0 | 1752 | 0.0303 | 0.9364 | 0.9229 | 0.9296 | 0.9889 |
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- | 0.0567 | 9.0 | 1971 | 0.0263 | 0.9432 | 0.9285 | 0.9358 | 0.9905 |
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- | 0.0498 | 10.0 | 2190 | 0.0258 | 0.9320 | 0.9419 | 0.9369 | 0.9908 |
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- | 0.0498 | 11.0 | 2409 | 0.0237 | 0.9431 | 0.9445 | 0.9438 | 0.9916 |
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- | 0.0437 | 12.0 | 2628 | 0.0187 | 0.9646 | 0.9534 | 0.9590 | 0.9936 |
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- | 0.0437 | 13.0 | 2847 | 0.0179 | 0.9636 | 0.9609 | 0.9623 | 0.9945 |
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- | 0.0425 | 14.0 | 3066 | 0.0159 | 0.9671 | 0.9642 | 0.9657 | 0.9949 |
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- | 0.0425 | 15.0 | 3285 | 0.0146 | 0.9654 | 0.9648 | 0.9651 | 0.9952 |
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- | 0.0464 | 16.0 | 3504 | 0.0137 | 0.9691 | 0.9687 | 0.9689 | 0.9956 |
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- | 0.0464 | 17.0 | 3723 | 0.0135 | 0.9713 | 0.9695 | 0.9704 | 0.9957 |
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- | 0.0464 | 18.0 | 3942 | 0.0128 | 0.9739 | 0.9708 | 0.9723 | 0.9960 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [casual/nlp_til2](https://huggingface.co/casual/nlp_til2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0041
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+ - Precision: 0.9920
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+ - Recall: 0.9923
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+ - F1: 0.9921
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+ - Accuracy: 0.9987
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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 | 219 | 0.0286 | 0.9350 | 0.9281 | 0.9316 | 0.9896 |
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+ | No log | 2.0 | 438 | 0.0277 | 0.9439 | 0.9235 | 0.9336 | 0.9899 |
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+ | 0.0365 | 3.0 | 657 | 0.0296 | 0.9127 | 0.9300 | 0.9213 | 0.9890 |
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+ | 0.0365 | 4.0 | 876 | 0.0267 | 0.9232 | 0.9404 | 0.9317 | 0.9900 |
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+ | 0.0332 | 5.0 | 1095 | 0.0205 | 0.9451 | 0.9599 | 0.9524 | 0.9929 |
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+ | 0.0332 | 6.0 | 1314 | 0.0165 | 0.9725 | 0.9542 | 0.9633 | 0.9942 |
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+ | 0.0293 | 7.0 | 1533 | 0.0145 | 0.9729 | 0.9579 | 0.9653 | 0.9946 |
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+ | 0.0293 | 8.0 | 1752 | 0.0156 | 0.9577 | 0.9658 | 0.9617 | 0.9944 |
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+ | 0.0293 | 9.0 | 1971 | 0.0111 | 0.9756 | 0.9737 | 0.9746 | 0.9961 |
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+ | 0.0237 | 10.0 | 2190 | 0.0091 | 0.9773 | 0.9803 | 0.9788 | 0.9968 |
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+ | 0.0237 | 11.0 | 2409 | 0.0088 | 0.9750 | 0.9803 | 0.9777 | 0.9968 |
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+ | 0.0199 | 12.0 | 2628 | 0.0068 | 0.9888 | 0.9848 | 0.9868 | 0.9978 |
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+ | 0.0199 | 13.0 | 2847 | 0.0070 | 0.9835 | 0.9847 | 0.9841 | 0.9977 |
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+ | 0.0201 | 14.0 | 3066 | 0.0074 | 0.9834 | 0.9861 | 0.9848 | 0.9976 |
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+ | 0.0201 | 15.0 | 3285 | 0.0051 | 0.9869 | 0.9889 | 0.9879 | 0.9983 |
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+ | 0.0257 | 16.0 | 3504 | 0.0040 | 0.9921 | 0.9913 | 0.9917 | 0.9987 |
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+ | 0.0257 | 17.0 | 3723 | 0.0045 | 0.9911 | 0.9922 | 0.9916 | 0.9987 |
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+ | 0.0257 | 18.0 | 3942 | 0.0041 | 0.9920 | 0.9923 | 0.9921 | 0.9987 |
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  ### Framework versions
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