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Training in progress epoch 0

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  1. README.md +9 -14
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -15,13 +15,13 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 0.5493
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- - Validation Loss: 0.5230
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- - Train Precision: 0.0
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- - Train Recall: 0.0
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- - Train F1: 0.0
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- - Train Accuracy: 0.9082
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- - Epoch: 5
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  ## Model description
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@@ -40,19 +40,14 @@ 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': 2e-05, 'decay_steps': 6, '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': 0.01}
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  - training_precision: float32
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  ### Training results
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  | Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
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  |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
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- | 0.9805 | 0.8370 | 0.2727 | 0.1034 | 0.15 | 0.8924 | 0 |
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- | 0.8416 | 0.7234 | 0.0 | 0.0 | 0.0 | 0.9051 | 1 |
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- | 0.7323 | 0.6383 | 0.0 | 0.0 | 0.0 | 0.9082 | 2 |
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- | 0.6500 | 0.5786 | 0.0 | 0.0 | 0.0 | 0.9082 | 3 |
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- | 0.5944 | 0.5410 | 0.0 | 0.0 | 0.0 | 0.9082 | 4 |
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- | 0.5493 | 0.5230 | 0.0 | 0.0 | 0.0 | 0.9082 | 5 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 0.0617
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+ - Validation Loss: 0.0648
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+ - Train Precision: 0.9062
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+ - Train Recall: 1.0
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+ - Train F1: 0.9508
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+ - Train Accuracy: 0.9905
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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': 2e-05, 'decay_steps': 600, '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': 0.01}
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  - training_precision: float32
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  ### Training results
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  | Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
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  |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
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+ | 0.0617 | 0.0648 | 0.9062 | 1.0 | 0.9508 | 0.9905 | 0 |
 
 
 
 
 
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  ### Framework versions
tf_model.h5 CHANGED
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