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distilbert_finetune_own_data_model

Token Classification
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Safetensors
distilbert
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End of training

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  1. README.md +51 -51
  2. model.safetensors +1 -1
  3. runs/Feb29_04-51-02_d924af8323c8/events.out.tfevents.1709182281.d924af8323c8.517.5 +3 -0
  4. runs/Feb29_04-51-02_d924af8323c8/events.out.tfevents.1709182320.d924af8323c8.517.6 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -20,7 +20,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.9434
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  - Precision: 0.0
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  - Recall: 0.0
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  - F1: 0.0
@@ -55,56 +55,56 @@ 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 | 1 | 0.8480 | 0.0 | 0.0 | 0.0 | 0.8333 |
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- | No log | 2.0 | 2 | 0.8506 | 0.0 | 0.0 | 0.0 | 0.8333 |
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- | No log | 3.0 | 3 | 0.8527 | 0.0 | 0.0 | 0.0 | 0.8333 |
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- | No log | 4.0 | 4 | 0.8546 | 0.0 | 0.0 | 0.0 | 0.8333 |
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- | No log | 5.0 | 5 | 0.8564 | 0.0 | 0.0 | 0.0 | 0.8333 |
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- | No log | 6.0 | 6 | 0.8577 | 0.0 | 0.0 | 0.0 | 0.8333 |
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- | No log | 7.0 | 7 | 0.8604 | 0.0 | 0.0 | 0.0 | 0.8333 |
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- | No log | 8.0 | 8 | 0.8609 | 0.0 | 0.0 | 0.0 | 0.8333 |
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- | No log | 9.0 | 9 | 0.8604 | 0.0 | 0.0 | 0.0 | 0.8333 |
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- | No log | 10.0 | 10 | 0.8607 | 0.0 | 0.0 | 0.0 | 0.8333 |
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- | No log | 11.0 | 11 | 0.8608 | 0.0 | 0.0 | 0.0 | 0.8333 |
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- | No log | 12.0 | 12 | 0.8619 | 0.0 | 0.0 | 0.0 | 0.8333 |
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- | No log | 13.0 | 13 | 0.8629 | 0.0 | 0.0 | 0.0 | 0.8333 |
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- | No log | 14.0 | 14 | 0.8644 | 0.0 | 0.0 | 0.0 | 0.8333 |
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- | No log | 15.0 | 15 | 0.8665 | 0.0 | 0.0 | 0.0 | 0.8333 |
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- | No log | 16.0 | 16 | 0.8686 | 0.0 | 0.0 | 0.0 | 0.8333 |
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- | No log | 17.0 | 17 | 0.8710 | 0.0 | 0.0 | 0.0 | 0.8333 |
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- | No log | 18.0 | 18 | 0.8738 | 0.0 | 0.0 | 0.0 | 0.8333 |
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- | No log | 19.0 | 19 | 0.8770 | 0.0 | 0.0 | 0.0 | 0.8333 |
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- | No log | 20.0 | 20 | 0.8802 | 0.0 | 0.0 | 0.0 | 0.8333 |
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- | No log | 21.0 | 21 | 0.8838 | 0.0 | 0.0 | 0.0 | 0.8333 |
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- | No log | 22.0 | 22 | 0.8877 | 0.0 | 0.0 | 0.0 | 0.8333 |
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- | No log | 23.0 | 23 | 0.8919 | 0.0 | 0.0 | 0.0 | 0.8333 |
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- | No log | 24.0 | 24 | 0.8958 | 0.0 | 0.0 | 0.0 | 0.8333 |
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- | No log | 25.0 | 25 | 0.8994 | 0.0 | 0.0 | 0.0 | 0.8333 |
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- | No log | 26.0 | 26 | 0.9030 | 0.0 | 0.0 | 0.0 | 0.8333 |
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- | No log | 27.0 | 27 | 0.9063 | 0.0 | 0.0 | 0.0 | 0.8333 |
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- | No log | 28.0 | 28 | 0.9094 | 0.0 | 0.0 | 0.0 | 0.8333 |
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- | No log | 29.0 | 29 | 0.9120 | 0.0 | 0.0 | 0.0 | 0.8333 |
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- | No log | 30.0 | 30 | 0.9147 | 0.0 | 0.0 | 0.0 | 0.8333 |
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- | No log | 31.0 | 31 | 0.9174 | 0.0 | 0.0 | 0.0 | 0.8333 |
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- | No log | 32.0 | 32 | 0.9198 | 0.0 | 0.0 | 0.0 | 0.8333 |
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- | No log | 33.0 | 33 | 0.9220 | 0.0 | 0.0 | 0.0 | 0.8333 |
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- | No log | 34.0 | 34 | 0.9241 | 0.0 | 0.0 | 0.0 | 0.8333 |
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- | No log | 35.0 | 35 | 0.9260 | 0.0 | 0.0 | 0.0 | 0.8333 |
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- | No log | 36.0 | 36 | 0.9279 | 0.0 | 0.0 | 0.0 | 0.8333 |
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- | No log | 37.0 | 37 | 0.9297 | 0.0 | 0.0 | 0.0 | 0.8333 |
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- | No log | 38.0 | 38 | 0.9317 | 0.0 | 0.0 | 0.0 | 0.8333 |
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- | No log | 39.0 | 39 | 0.9336 | 0.0 | 0.0 | 0.0 | 0.8333 |
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- | No log | 40.0 | 40 | 0.9353 | 0.0 | 0.0 | 0.0 | 0.8333 |
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- | No log | 41.0 | 41 | 0.9368 | 0.0 | 0.0 | 0.0 | 0.8333 |
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- | No log | 42.0 | 42 | 0.9382 | 0.0 | 0.0 | 0.0 | 0.8333 |
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- | No log | 43.0 | 43 | 0.9393 | 0.0 | 0.0 | 0.0 | 0.8333 |
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- | No log | 44.0 | 44 | 0.9403 | 0.0 | 0.0 | 0.0 | 0.8333 |
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- | No log | 45.0 | 45 | 0.9413 | 0.0 | 0.0 | 0.0 | 0.8333 |
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- | No log | 46.0 | 46 | 0.9420 | 0.0 | 0.0 | 0.0 | 0.8333 |
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- | No log | 47.0 | 47 | 0.9426 | 0.0 | 0.0 | 0.0 | 0.8333 |
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- | No log | 48.0 | 48 | 0.9430 | 0.0 | 0.0 | 0.0 | 0.8333 |
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- | No log | 49.0 | 49 | 0.9432 | 0.0 | 0.0 | 0.0 | 0.8333 |
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- | No log | 50.0 | 50 | 0.9434 | 0.0 | 0.0 | 0.0 | 0.8333 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3463
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  - Precision: 0.0
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  - Recall: 0.0
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  - F1: 0.0
 
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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 | 1 | 0.8003 | 0.0 | 0.0 | 0.0 | 0.3333 |
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+ | No log | 2.0 | 2 | 0.7903 | 0.0 | 0.0 | 0.0 | 0.3333 |
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+ | No log | 3.0 | 3 | 0.7861 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | No log | 4.0 | 4 | 0.7846 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | No log | 5.0 | 5 | 0.7833 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | No log | 6.0 | 6 | 0.7787 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | No log | 7.0 | 7 | 0.7700 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | No log | 8.0 | 8 | 0.7585 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | No log | 9.0 | 9 | 0.7434 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | No log | 10.0 | 10 | 0.7255 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | No log | 11.0 | 11 | 0.7045 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | No log | 12.0 | 12 | 0.6820 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | No log | 13.0 | 13 | 0.6575 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | No log | 14.0 | 14 | 0.6328 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | No log | 15.0 | 15 | 0.6085 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | No log | 16.0 | 16 | 0.5854 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | No log | 17.0 | 17 | 0.5637 | 0.0 | 0.0 | 0.0 | 0.5 |
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+ | No log | 18.0 | 18 | 0.5430 | 0.0 | 0.0 | 0.0 | 0.6667 |
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+ | No log | 19.0 | 19 | 0.5235 | 0.0 | 0.0 | 0.0 | 0.6667 |
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+ | No log | 20.0 | 20 | 0.5059 | 0.0 | 0.0 | 0.0 | 0.8333 |
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+ | No log | 21.0 | 21 | 0.4897 | 0.0 | 0.0 | 0.0 | 0.8333 |
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+ | No log | 22.0 | 22 | 0.4748 | 0.0 | 0.0 | 0.0 | 0.8333 |
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+ | No log | 23.0 | 23 | 0.4601 | 0.0 | 0.0 | 0.0 | 0.8333 |
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+ | No log | 24.0 | 24 | 0.4465 | 0.0 | 0.0 | 0.0 | 0.8333 |
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+ | No log | 25.0 | 25 | 0.4342 | 0.0 | 0.0 | 0.0 | 0.8333 |
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+ | No log | 26.0 | 26 | 0.4235 | 0.0 | 0.0 | 0.0 | 0.8333 |
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+ | No log | 27.0 | 27 | 0.4140 | 0.0 | 0.0 | 0.0 | 0.8333 |
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+ | No log | 28.0 | 28 | 0.4053 | 0.0 | 0.0 | 0.0 | 0.8333 |
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+ | No log | 29.0 | 29 | 0.3976 | 0.0 | 0.0 | 0.0 | 0.8333 |
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+ | No log | 30.0 | 30 | 0.3910 | 0.0 | 0.0 | 0.0 | 0.8333 |
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+ | No log | 31.0 | 31 | 0.3849 | 0.0 | 0.0 | 0.0 | 0.8333 |
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+ | No log | 32.0 | 32 | 0.3793 | 0.0 | 0.0 | 0.0 | 0.8333 |
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+ | No log | 33.0 | 33 | 0.3746 | 0.0 | 0.0 | 0.0 | 0.8333 |
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+ | No log | 34.0 | 34 | 0.3704 | 0.0 | 0.0 | 0.0 | 0.8333 |
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+ | No log | 35.0 | 35 | 0.3668 | 0.0 | 0.0 | 0.0 | 0.8333 |
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+ | No log | 36.0 | 36 | 0.3637 | 0.0 | 0.0 | 0.0 | 0.8333 |
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+ | No log | 37.0 | 37 | 0.3609 | 0.0 | 0.0 | 0.0 | 0.8333 |
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+ | No log | 38.0 | 38 | 0.3583 | 0.0 | 0.0 | 0.0 | 0.8333 |
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+ | No log | 39.0 | 39 | 0.3561 | 0.0 | 0.0 | 0.0 | 0.8333 |
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+ | No log | 40.0 | 40 | 0.3543 | 0.0 | 0.0 | 0.0 | 0.8333 |
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+ | No log | 41.0 | 41 | 0.3528 | 0.0 | 0.0 | 0.0 | 0.8333 |
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+ | No log | 42.0 | 42 | 0.3514 | 0.0 | 0.0 | 0.0 | 0.8333 |
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+ | No log | 43.0 | 43 | 0.3503 | 0.0 | 0.0 | 0.0 | 0.8333 |
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+ | No log | 44.0 | 44 | 0.3493 | 0.0 | 0.0 | 0.0 | 0.8333 |
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+ | No log | 45.0 | 45 | 0.3484 | 0.0 | 0.0 | 0.0 | 0.8333 |
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+ | No log | 46.0 | 46 | 0.3477 | 0.0 | 0.0 | 0.0 | 0.8333 |
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+ | No log | 47.0 | 47 | 0.3471 | 0.0 | 0.0 | 0.0 | 0.8333 |
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+ | No log | 48.0 | 48 | 0.3467 | 0.0 | 0.0 | 0.0 | 0.8333 |
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+ | No log | 49.0 | 49 | 0.3464 | 0.0 | 0.0 | 0.0 | 0.8333 |
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+ | No log | 50.0 | 50 | 0.3463 | 0.0 | 0.0 | 0.0 | 0.8333 |
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  ### Framework versions
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