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Training in progress epoch 0

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  1. README.md +5 -14
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -14,10 +14,10 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [almanach/camembert-bio-base](https://huggingface.co/almanach/camembert-bio-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 1.3879
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  - Validation Loss: 1.3863
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- - Train Accuracy: 0.2622
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- - Epoch: 9
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  ## Model description
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@@ -36,23 +36,14 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 4e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
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  - training_precision: float32
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  ### Training results
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  | Train Loss | Validation Loss | Train Accuracy | Epoch |
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  |:----------:|:---------------:|:--------------:|:-----:|
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- | 1.3865 | 1.3884 | 0.2195 | 0 |
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- | 1.3727 | 1.3979 | 0.2622 | 1 |
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- | 1.3716 | 1.3863 | 0.3354 | 2 |
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- | 1.3907 | 1.3863 | 0.2866 | 3 |
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- | 1.3886 | 1.3863 | 0.2744 | 4 |
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- | 1.3860 | 1.3863 | 0.2683 | 5 |
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- | 1.3877 | 1.3863 | 0.2073 | 6 |
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- | 1.3875 | 1.3863 | 0.2927 | 7 |
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- | 1.3870 | 1.3863 | 0.2439 | 8 |
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- | 1.3879 | 1.3863 | 0.2622 | 9 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [almanach/camembert-bio-base](https://huggingface.co/almanach/camembert-bio-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 1.5039
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  - Validation Loss: 1.3863
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+ - Train Accuracy: 0.2195
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+ - Epoch: 0
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 0.01, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
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  - training_precision: float32
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  ### Training results
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  | Train Loss | Validation Loss | Train Accuracy | Epoch |
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  |:----------:|:---------------:|:--------------:|:-----:|
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+ | 1.5039 | 1.3863 | 0.2195 | 0 |
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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