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Training in progress epoch 0

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  1. README.md +4 -6
  2. tf_model.h5 +1 -1
  3. tokenizer.json +2 -16
README.md CHANGED
@@ -14,8 +14,8 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [medicalai/ClinicalBERT](https://huggingface.co/medicalai/ClinicalBERT) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 1.3375
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- - Epoch: 2
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  ## Model description
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@@ -34,16 +34,14 @@ 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': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 444, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
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  - training_precision: mixed_float16
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  ### Training results
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  | Train Loss | Epoch |
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  |:----------:|:-----:|
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- | 2.5165 | 0 |
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- | 1.5894 | 1 |
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- | 1.3375 | 2 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [medicalai/ClinicalBERT](https://huggingface.co/medicalai/ClinicalBERT) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 2.2534
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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': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 576, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
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  - training_precision: mixed_float16
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  ### Training results
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  | Train Loss | Epoch |
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  |:----------:|:-----:|
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+ | 2.2534 | 0 |
 
 
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  ### Framework versions
tf_model.h5 CHANGED
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tokenizer.json CHANGED
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