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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 +21 -21
  2. model.safetensors +1 -1
  3. runs/Mar05_06-30-28_fbd7a420be06/events.out.tfevents.1709620241.fbd7a420be06.558.5 +3 -0
  4. runs/Mar05_06-53-18_fbd7a420be06/events.out.tfevents.1709621601.fbd7a420be06.558.6 +3 -0
  5. runs/Mar05_06-53-18_fbd7a420be06/events.out.tfevents.1709622080.fbd7a420be06.558.7 +3 -0
  6. 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: 0.0011
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  - Precision: 1.0
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  - Recall: 1.0
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  - F1: 1.0
@@ -55,26 +55,26 @@ 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 | 14 | 0.5130 | 0.0 | 0.0 | 0.0 | 0.7722 |
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- | No log | 2.0 | 28 | 0.2590 | 0.7143 | 0.625 | 0.6667 | 0.9241 |
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- | No log | 3.0 | 42 | 0.1134 | 0.7647 | 0.8125 | 0.7879 | 0.9620 |
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- | No log | 4.0 | 56 | 0.0633 | 0.7778 | 0.875 | 0.8235 | 0.9747 |
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- | No log | 5.0 | 70 | 0.0343 | 0.7778 | 0.875 | 0.8235 | 0.9747 |
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- | No log | 6.0 | 84 | 0.0133 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 7.0 | 98 | 0.0071 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 8.0 | 112 | 0.0041 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 9.0 | 126 | 0.0030 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 10.0 | 140 | 0.0024 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 11.0 | 154 | 0.0020 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 12.0 | 168 | 0.0017 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 13.0 | 182 | 0.0015 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 14.0 | 196 | 0.0014 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 15.0 | 210 | 0.0013 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 16.0 | 224 | 0.0012 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 17.0 | 238 | 0.0011 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 18.0 | 252 | 0.0011 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 19.0 | 266 | 0.0011 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 20.0 | 280 | 0.0011 | 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: 0.0006
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  - Precision: 1.0
25
  - Recall: 1.0
26
  - 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 | 17 | 0.3928 | 0.0 | 0.0 | 0.0 | 0.8092 |
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+ | No log | 2.0 | 34 | 0.1697 | 0.6667 | 0.6667 | 0.6667 | 0.9389 |
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+ | No log | 3.0 | 51 | 0.0641 | 0.72 | 0.8571 | 0.7826 | 0.9695 |
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+ | No log | 4.0 | 68 | 0.0356 | 0.8261 | 0.9048 | 0.8636 | 0.9847 |
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+ | No log | 5.0 | 85 | 0.0164 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 6.0 | 102 | 0.0067 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 7.0 | 119 | 0.0034 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 8.0 | 136 | 0.0022 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 9.0 | 153 | 0.0015 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 10.0 | 170 | 0.0012 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 11.0 | 187 | 0.0010 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 12.0 | 204 | 0.0009 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 13.0 | 221 | 0.0008 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 14.0 | 238 | 0.0007 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 15.0 | 255 | 0.0007 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 16.0 | 272 | 0.0007 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 17.0 | 289 | 0.0006 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 18.0 | 306 | 0.0006 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 19.0 | 323 | 0.0006 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 20.0 | 340 | 0.0006 | 1.0 | 1.0 | 1.0 | 1.0 |
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  ### Framework versions
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