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update model card README.md

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@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [flaubert/flaubert_small_cased](https://huggingface.co/flaubert/flaubert_small_cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.0627
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- - Accuracy: 0.5444
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  ## Model description
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@@ -42,15 +42,18 @@ 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: 3
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 270 | 1.2064 | 0.4657 |
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- | 1.3176 | 2.0 | 540 | 1.0933 | 0.5352 |
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- | 1.3176 | 3.0 | 810 | 1.0627 | 0.5444 |
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [flaubert/flaubert_small_cased](https://huggingface.co/flaubert/flaubert_small_cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.0163
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+ - Accuracy: 0.6225
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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: 6
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 345 | 1.0352 | 0.5435 |
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+ | 1.2697 | 2.0 | 690 | 1.0254 | 0.5696 |
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+ | 1.0075 | 3.0 | 1035 | 1.0079 | 0.5891 |
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+ | 1.0075 | 4.0 | 1380 | 0.9745 | 0.6101 |
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+ | 0.8314 | 5.0 | 1725 | 0.9866 | 0.6188 |
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+ | 0.738 | 6.0 | 2070 | 1.0163 | 0.6225 |
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  ### Framework versions