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--- |
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license: mit |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: tf-tpu/roberta-base-epochs-100 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information Keras had access to. You should |
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probably proofread and complete it, then remove this comment. --> |
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# tf-tpu/roberta-base-epochs-100 |
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This model is a fine-tuned version of [roberta-base](https://huggingface.co./roberta-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 4.8672 |
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- Train Accuracy: 0.0449 |
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- Validation Loss: 4.8789 |
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- Validation Accuracy: 0.0440 |
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- Epoch: 5 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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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': 'WarmUp', 'config': {'initial_learning_rate': 0.0001, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 0.0001, 'decay_steps': 55765, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, '__passive_serialization__': True}, 'warmup_steps': 2935, 'power': 1.0, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.001} |
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- training_precision: mixed_bfloat16 |
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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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| 7.2121 | 0.0274 | 5.7188 | 0.0346 | 0 | |
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| 5.4335 | 0.0414 | 5.2266 | 0.0439 | 1 | |
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| 5.1579 | 0.0445 | 5.0625 | 0.0441 | 2 | |
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| 5.0231 | 0.0447 | 4.9453 | 0.0446 | 3 | |
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| 4.9323 | 0.0448 | 4.8633 | 0.0443 | 4 | |
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| 4.8672 | 0.0449 | 4.8789 | 0.0440 | 5 | |
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### Framework versions |
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- Transformers 4.27.0.dev0 |
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- TensorFlow 2.9.1 |
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- Tokenizers 0.13.2 |
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