Training in progress epoch 0
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- tf_model.h5 +1 -1
README.md
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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.
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- Validation Loss: 1.
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- Train Accuracy: 0.
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- Epoch:
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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':
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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.
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| 1.3877 | 1.3863 | 0.2195 | 1 |
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| 1.3867 | 1.3863 | 0.2439 | 2 |
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| 1.3883 | 1.3863 | 0.2805 | 3 |
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| 1.3862 | 1.3863 | 0.2683 | 4 |
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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: 1.3865
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- Validation Loss: 1.3884
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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': 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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### Framework versions
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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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size 442780888
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version https://git-lfs.github.com/spec/v1
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size 442780888
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