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Training in progress epoch 0

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  1. README.md +5 -19
  2. tf_model.h5 +2 -2
README.md CHANGED
@@ -15,9 +15,9 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 0.0750
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- - Validation Loss: 0.5506
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- - Epoch: 14
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  ## Model description
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@@ -36,28 +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: {'inner_optimizer': {'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 750, '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}}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
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  - training_precision: mixed_float16
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  ### Training results
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  | Train Loss | Validation Loss | Epoch |
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  |:----------:|:---------------:|:-----:|
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- | 0.8634 | 0.5775 | 0 |
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- | 0.4578 | 0.4770 | 1 |
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- | 0.3446 | 0.3966 | 2 |
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- | 0.2666 | 0.3523 | 3 |
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- | 0.2335 | 0.3753 | 4 |
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- | 0.1960 | 0.3843 | 5 |
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- | 0.1631 | 0.3549 | 6 |
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- | 0.1349 | 0.4064 | 7 |
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- | 0.1205 | 0.4645 | 8 |
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- | 0.1062 | 0.3901 | 9 |
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- | 0.0948 | 0.4946 | 10 |
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- | 0.0873 | 0.4757 | 11 |
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- | 0.0795 | 0.4492 | 12 |
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- | 0.0783 | 0.4684 | 13 |
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- | 0.0750 | 0.5506 | 14 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 0.9040
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+ - Validation Loss: 0.6209
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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: {'inner_optimizer': {'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 350, '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}}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
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  - training_precision: mixed_float16
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  ### Training results
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  | Train Loss | Validation Loss | Epoch |
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  |:----------:|:---------------:|:-----:|
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+ | 0.9040 | 0.6209 | 0 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
tf_model.h5 CHANGED
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