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nlp_til2

Token Classification
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  1. README.md +25 -25
  2. model.safetensors +1 -1
  3. runs/May16_15-55-06_instance-358/events.out.tfevents.1715874907.instance-358 +2 -2
README.md CHANGED
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  ---
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  license: apache-2.0
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- base_model: casual/nlp_til
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  tags:
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  - generated_from_trainer
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  metrics:
@@ -18,13 +18,13 @@ should probably proofread and complete it, then remove this comment. -->
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  # nlp_til2
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- This model is a fine-tuned version of [casual/nlp_til](https://huggingface.co/casual/nlp_til) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0989
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- - Precision: 0.7550
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- - Recall: 0.7387
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- - F1: 0.7468
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- - Accuracy: 0.9573
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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 | 0.2111 | 0.4478 | 0.5230 | 0.4825 | 0.8922 |
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- | No log | 2.0 | 438 | 0.1953 | 0.4984 | 0.5128 | 0.5055 | 0.9040 |
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- | 0.2163 | 3.0 | 657 | 0.1886 | 0.5210 | 0.5660 | 0.5426 | 0.9095 |
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- | 0.2163 | 4.0 | 876 | 0.1809 | 0.5432 | 0.5988 | 0.5696 | 0.9142 |
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- | 0.2056 | 5.0 | 1095 | 0.1692 | 0.5758 | 0.6142 | 0.5944 | 0.9207 |
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- | 0.2056 | 6.0 | 1314 | 0.1625 | 0.5889 | 0.6232 | 0.6056 | 0.9247 |
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- | 0.188 | 7.0 | 1533 | 0.1510 | 0.6315 | 0.5979 | 0.6142 | 0.9317 |
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- | 0.188 | 8.0 | 1752 | 0.1405 | 0.6625 | 0.6341 | 0.6480 | 0.9373 |
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- | 0.188 | 9.0 | 1971 | 0.1341 | 0.6665 | 0.6576 | 0.6620 | 0.9399 |
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- | 0.1716 | 10.0 | 2190 | 0.1305 | 0.6594 | 0.6954 | 0.6769 | 0.9409 |
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- | 0.1716 | 11.0 | 2409 | 0.1221 | 0.6931 | 0.6897 | 0.6914 | 0.9455 |
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- | 0.1565 | 12.0 | 2628 | 0.1185 | 0.6970 | 0.7239 | 0.7102 | 0.9477 |
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- | 0.1565 | 13.0 | 2847 | 0.1082 | 0.7336 | 0.7087 | 0.7210 | 0.9523 |
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- | 0.1459 | 14.0 | 3066 | 0.1079 | 0.7323 | 0.7302 | 0.7312 | 0.9532 |
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- | 0.1459 | 15.0 | 3285 | 0.1039 | 0.7325 | 0.7251 | 0.7287 | 0.9542 |
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- | 0.1419 | 16.0 | 3504 | 0.1030 | 0.7389 | 0.7484 | 0.7436 | 0.9557 |
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- | 0.1419 | 17.0 | 3723 | 0.1001 | 0.7487 | 0.7414 | 0.7450 | 0.9565 |
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- | 0.1419 | 18.0 | 3942 | 0.0989 | 0.7550 | 0.7387 | 0.7468 | 0.9573 |
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  ### Framework versions
 
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  ---
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  license: apache-2.0
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+ base_model: casual/nlp_til2
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  tags:
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  - generated_from_trainer
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  metrics:
 
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  # nlp_til2
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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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  | 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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