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update model card README.md

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@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [hatemestinbejaia/AkeyLegalBert6](https://huggingface.co/hatemestinbejaia/AkeyLegalBert6) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 4.3675
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  ## Model description
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@@ -39,22 +39,32 @@ 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: 10.0
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 1.0 | 74 | 4.5042 |
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- | No log | 2.0 | 148 | 4.4335 |
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- | No log | 3.0 | 222 | 4.5425 |
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- | No log | 4.0 | 296 | 4.4517 |
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- | No log | 5.0 | 370 | 4.3968 |
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- | No log | 6.0 | 444 | 4.2806 |
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- | 4.5334 | 7.0 | 518 | 4.2783 |
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- | 4.5334 | 8.0 | 592 | 4.3078 |
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- | 4.5334 | 9.0 | 666 | 4.4751 |
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- | 4.5334 | 10.0 | 740 | 4.4136 |
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [hatemestinbejaia/AkeyLegalBert6](https://huggingface.co/hatemestinbejaia/AkeyLegalBert6) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 4.0195
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  ## Model description
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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: 20.0
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 147 | 4.3797 |
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+ | No log | 2.0 | 294 | 4.4473 |
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+ | No log | 3.0 | 441 | 4.3182 |
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+ | 4.4392 | 4.0 | 588 | 4.2805 |
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+ | 4.4392 | 5.0 | 735 | 4.1713 |
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+ | 4.4392 | 6.0 | 882 | 4.1788 |
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+ | 4.2144 | 7.0 | 1029 | 4.0856 |
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+ | 4.2144 | 8.0 | 1176 | 4.1807 |
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+ | 4.2144 | 9.0 | 1323 | 4.0702 |
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+ | 4.2144 | 10.0 | 1470 | 4.0613 |
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+ | 4.0493 | 11.0 | 1617 | 4.0758 |
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+ | 4.0493 | 12.0 | 1764 | 4.0599 |
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+ | 4.0493 | 13.0 | 1911 | 4.0246 |
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+ | 3.952 | 14.0 | 2058 | 4.0312 |
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+ | 3.952 | 15.0 | 2205 | 4.1122 |
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+ | 3.952 | 16.0 | 2352 | 4.1250 |
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+ | 3.952 | 17.0 | 2499 | 4.0470 |
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+ | 3.926 | 18.0 | 2646 | 4.1016 |
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+ | 3.926 | 19.0 | 2793 | 3.9823 |
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+ | 3.926 | 20.0 | 2940 | 3.9977 |
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  ### Framework versions