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Training in progress epoch 0
Browse files- README.md +5 -7
- config.json +4 -4
- tf_model.h5 +2 -2
README.md
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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.
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- Validation Loss: 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': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps':
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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.
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| 0.0384 | 0.0569 | 1 |
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| 0.0219 | 0.0619 | 2 |
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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: 0.2587
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- Validation Loss: 0.1929
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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': 663, '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 | Validation Loss | Epoch |
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|:----------:|:---------------:|:-----:|
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| 0.2587 | 0.1929 | 0 |
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### Framework versions
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config.json
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"hidden_size": 768,
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"id2label": {
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"0": "O",
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"1": "B
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"2": "I
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"B
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"I
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"O": "0"
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},
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"layer_norm_eps": 1e-12,
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"hidden_size": 768,
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"id2label": {
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"0": "O",
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"1": "B",
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"2": "I"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"B": "1",
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"I": "2",
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"O": "0"
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},
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"layer_norm_eps": 1e-12,
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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:0e7b83b042cee7db1a27b7ae6064074418a699f97d62873fe995c76eccf8de36
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size 431173652
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