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End of training

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  1. README.md +8 -8
  2. model.safetensors +1 -1
  3. tokenizer.json +2 -16
README.md CHANGED
@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0373
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- - F1: 0.9933
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  ## Model description
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@@ -45,17 +45,17 @@ The following hyperparameters were used during training:
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  - optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 500
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- - num_epochs: 5
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | 0.4138 | 1.0 | 120 | 0.0501 | 0.9884 |
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- | 0.0518 | 2.0 | 240 | 0.0262 | 0.9917 |
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- | 0.026 | 3.0 | 360 | 0.0305 | 0.9921 |
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- | 0.0162 | 4.0 | 480 | 0.0271 | 0.9929 |
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- | 0.0075 | 5.0 | 600 | 0.0373 | 0.9933 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0806
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+ - F1: 0.9793
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  ## Model description
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  - optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 500
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+ - num_epochs: 10
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 0.4279 | 1.0 | 120 | 0.0491 | 0.9876 |
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+ | 0.0474 | 2.0 | 240 | 0.0339 | 0.9915 |
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+ | 0.0263 | 3.0 | 360 | 0.0250 | 0.9931 |
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+ | 0.0152 | 4.0 | 480 | 0.0398 | 0.9900 |
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+ | 0.01 | 5.0 | 600 | 0.0806 | 0.9793 |
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  ### Framework versions
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  "added_tokens": [
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