Upload TFBertForSequenceClassification
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- tf_model.h5 +1 -1
README.md
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This model was trained from scratch on an unknown dataset.
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It achieves the following results on the evaluation set:
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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: None
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- training_precision: float32
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### Training results
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### Framework versions
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This model was trained from scratch on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.1618
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- Train Accuracy: 0.9368
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- Validation Loss: 0.2226
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- Validation Accuracy: 0.9102
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- Epoch: 2
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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': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 2214, 'end_learning_rate': 1e-05, 'power': 1.0, 'cycle': False, 'name': None}}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
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- training_precision: float32
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### Training results
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| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
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|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
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| 0.3017 | 0.8710 | 0.2638 | 0.8843 | 0 |
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| 0.1989 | 0.9198 | 0.2287 | 0.9139 | 1 |
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| 0.1618 | 0.9368 | 0.2226 | 0.9102 | 2 |
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### Framework versions
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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 51152184
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version https://git-lfs.github.com/spec/v1
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oid sha256:bfe51073c1ae69cb2dba99c9c5ea26218735d273c4875b90eebab6c839550d67
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size 51152184
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