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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 +12 -22
  2. model.safetensors +1 -1
  3. runs/Mar05_07-28-35_0a6b86d0d151/events.out.tfevents.1709623730.0a6b86d0d151.503.0 +3 -0
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  9. 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: 0.0006
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  - Precision: 1.0
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  - Recall: 1.0
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  - F1: 1.0
@@ -49,32 +49,22 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 20
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  ### Training results
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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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  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: 0.0052
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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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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 10
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  ### Training results
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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 | 18 | 0.0907 | 0.8889 | 1.0 | 0.9412 | 0.9706 |
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+ | No log | 2.0 | 36 | 0.0119 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 3.0 | 54 | 0.0114 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 4.0 | 72 | 0.0141 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 5.0 | 90 | 0.0055 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 6.0 | 108 | 0.0044 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 7.0 | 126 | 0.0040 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 8.0 | 144 | 0.0043 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 9.0 | 162 | 0.0049 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 10.0 | 180 | 0.0052 | 1.0 | 1.0 | 1.0 | 1.0 |
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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