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Training in progress epoch 0

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  1. README.md +4 -16
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -14,9 +14,9 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [badokorach/bert-finetuned-210124](https://huggingface.co/badokorach/bert-finetuned-210124) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 1.1834
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  - Validation Loss: 0.0
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- - Epoch: 12
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  ## Model description
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@@ -35,26 +35,14 @@ 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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 1e-05, 'decay_steps': 3660, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.02}
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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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- | 2.4063 | 0.0 | 0 |
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- | 2.0915 | 0.0 | 1 |
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- | 1.9474 | 0.0 | 2 |
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- | 1.8222 | 0.0 | 3 |
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- | 1.7120 | 0.0 | 4 |
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- | 1.6049 | 0.0 | 5 |
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- | 1.5342 | 0.0 | 6 |
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- | 1.4511 | 0.0 | 7 |
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- | 1.3735 | 0.0 | 8 |
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- | 1.3127 | 0.0 | 9 |
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- | 1.2634 | 0.0 | 10 |
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- | 1.2089 | 0.0 | 11 |
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- | 1.1834 | 0.0 | 12 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [badokorach/bert-finetuned-210124](https://huggingface.co/badokorach/bert-finetuned-210124) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 0.0357
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  - Validation Loss: 0.0
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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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 1e-05, 'decay_steps': 4560, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.02}
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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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+ | 0.0357 | 0.0 | 0 |
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
tf_model.h5 CHANGED
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