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nlp_til2

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  1. README.md +23 -23
  2. model.safetensors +1 -1
  3. runs/May16_16-05-09_instance-358/events.out.tfevents.1715875510.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: 0.0415
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- - Precision: 0.9111
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- - Recall: 0.8883
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- - F1: 0.8995
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- - Accuracy: 0.9849
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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 | 0.1170 | 0.6875 | 0.7074 | 0.6973 | 0.9476 |
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- | No log | 2.0 | 438 | 0.1063 | 0.7437 | 0.7219 | 0.7326 | 0.9541 |
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- | 0.1327 | 3.0 | 657 | 0.1016 | 0.7438 | 0.7390 | 0.7414 | 0.9557 |
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- | 0.1327 | 4.0 | 876 | 0.0963 | 0.7465 | 0.7694 | 0.7578 | 0.9581 |
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- | 0.1227 | 5.0 | 1095 | 0.0871 | 0.7878 | 0.7836 | 0.7857 | 0.9634 |
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- | 0.1227 | 6.0 | 1314 | 0.0837 | 0.7865 | 0.7875 | 0.7870 | 0.9648 |
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- | 0.1085 | 7.0 | 1533 | 0.0768 | 0.8120 | 0.7970 | 0.8044 | 0.9684 |
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- | 0.1085 | 8.0 | 1752 | 0.0696 | 0.8467 | 0.8048 | 0.8252 | 0.9714 |
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- | 0.1085 | 9.0 | 1971 | 0.0644 | 0.8522 | 0.8165 | 0.8340 | 0.9737 |
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- | 0.0978 | 10.0 | 2190 | 0.0649 | 0.8118 | 0.8471 | 0.8291 | 0.9726 |
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- | 0.0978 | 11.0 | 2409 | 0.0588 | 0.8549 | 0.8506 | 0.8527 | 0.9765 |
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- | 0.0891 | 12.0 | 2628 | 0.0533 | 0.8705 | 0.8594 | 0.8649 | 0.9794 |
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- | 0.0891 | 13.0 | 2847 | 0.0491 | 0.8861 | 0.8614 | 0.8736 | 0.9807 |
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- | 0.0841 | 14.0 | 3066 | 0.0470 | 0.8861 | 0.8792 | 0.8826 | 0.9821 |
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- | 0.0841 | 15.0 | 3285 | 0.0450 | 0.8891 | 0.8773 | 0.8831 | 0.9830 |
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- | 0.0843 | 16.0 | 3504 | 0.0438 | 0.8958 | 0.8871 | 0.8914 | 0.9839 |
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- | 0.0843 | 17.0 | 3723 | 0.0424 | 0.9034 | 0.8904 | 0.8968 | 0.9845 |
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- | 0.0843 | 18.0 | 3942 | 0.0415 | 0.9111 | 0.8883 | 0.8995 | 0.9849 |
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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: 0.0128
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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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  | 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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