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distilbert_finetune_own_data_model

Token Classification
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distilbert
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End of training

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  1. README.md +11 -11
  2. model.safetensors +1 -1
  3. runs/Mar02_11-15-02_062f85bf131e/events.out.tfevents.1709378121.062f85bf131e.268.4 +3 -0
  4. runs/Mar02_11-15-02_062f85bf131e/events.out.tfevents.1709378250.062f85bf131e.268.5 +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: 0.0045
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  - Precision: 1.0
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  - Recall: 1.0
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  - F1: 1.0
@@ -55,16 +55,16 @@ 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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- | No log | 1.0 | 5 | 0.3497 | 1.0 | 0.625 | 0.7692 | 0.88 |
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- | No log | 2.0 | 10 | 0.1157 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 3.0 | 15 | 0.0402 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 4.0 | 20 | 0.0331 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 5.0 | 25 | 0.0189 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 6.0 | 30 | 0.0108 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 7.0 | 35 | 0.0070 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 8.0 | 40 | 0.0054 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 9.0 | 45 | 0.0047 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 10.0 | 50 | 0.0045 | 1.0 | 1.0 | 1.0 | 1.0 |
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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: 0.0025
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  - Precision: 1.0
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  - Recall: 1.0
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  - F1: 1.0
 
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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 | 5 | 0.2997 | 1.0 | 0.75 | 0.8571 | 0.92 |
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+ | No log | 2.0 | 10 | 0.0758 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 3.0 | 15 | 0.0187 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 4.0 | 20 | 0.0153 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 5.0 | 25 | 0.0115 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 6.0 | 30 | 0.0071 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 7.0 | 35 | 0.0043 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 8.0 | 40 | 0.0031 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 9.0 | 45 | 0.0026 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 10.0 | 50 | 0.0025 | 1.0 | 1.0 | 1.0 | 1.0 |
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  ### Framework versions
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