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legal-bert-finetuned-1985-classifier

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frisibeli/legal-bert-finetuned-1985-classifier

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  1. README.md +10 -8
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -15,8 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [frisibeli/legal-bert-finetuned-1985](https://huggingface.co/frisibeli/legal-bert-finetuned-1985) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.9559
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- - F1 Score: 0.5171
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  ## Model description
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@@ -44,17 +44,19 @@ The following hyperparameters were used during training:
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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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  - lr_scheduler_warmup_ratio: 0.02
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- - num_epochs: 5
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | F1 Score |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 0.5871 | 0.99 | 82 | 0.5109 | 0.4419 |
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- | 0.4974 | 2.0 | 165 | 0.5544 | 0.4331 |
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- | 0.3318 | 2.99 | 247 | 0.7931 | 0.4543 |
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- | 0.2097 | 4.0 | 330 | 0.8915 | 0.5171 |
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- | 0.1407 | 4.97 | 410 | 0.9559 | 0.5171 |
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [frisibeli/legal-bert-finetuned-1985](https://huggingface.co/frisibeli/legal-bert-finetuned-1985) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.3472
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+ - F1 Score: 0.5128
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  ## Model description
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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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  - lr_scheduler_warmup_ratio: 0.02
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+ - num_epochs: 7
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | F1 Score |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.5817 | 0.99 | 82 | 0.5112 | 0.4419 |
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+ | 0.4875 | 2.0 | 165 | 0.5126 | 0.4921 |
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+ | 0.2992 | 2.99 | 247 | 0.6876 | 0.5171 |
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+ | 0.1575 | 4.0 | 330 | 0.9381 | 0.5216 |
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+ | 0.0727 | 4.99 | 412 | 1.1702 | 0.5308 |
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+ | 0.0453 | 6.0 | 495 | 1.2749 | 0.5084 |
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+ | 0.0258 | 6.96 | 574 | 1.3472 | 0.5128 |
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  ### Framework versions
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