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--- |
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license: mit |
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base_model: roberta-base |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: Ryukijano/masked-lm-tpu |
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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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# Ryukijano/masked-lm-tpu |
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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: 7.9065 |
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- Train Accuracy: 0.0231 |
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- Validation Loss: 7.8661 |
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- Validation Accuracy: 0.0221 |
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- Epoch: 15 |
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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': 111625, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, '__passive_serialization__': True}, 'warmup_steps': 5875, '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: 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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| 10.2437 | 0.0000 | 10.1909 | 0.0000 | 0 | |
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| 10.1151 | 0.0001 | 9.9763 | 0.0016 | 1 | |
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| 9.8665 | 0.0107 | 9.6535 | 0.0215 | 2 | |
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| 9.5331 | 0.0230 | 9.2992 | 0.0223 | 3 | |
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| 9.2000 | 0.0231 | 8.9944 | 0.0222 | 4 | |
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| 8.9195 | 0.0229 | 8.7450 | 0.0224 | 5 | |
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| 8.6997 | 0.0231 | 8.6124 | 0.0219 | 6 | |
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| 8.5689 | 0.0229 | 8.4904 | 0.0222 | 7 | |
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| 8.4525 | 0.0230 | 8.3865 | 0.0223 | 8 | |
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| 8.3594 | 0.0230 | 8.3069 | 0.0221 | 9 | |
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| 8.2662 | 0.0231 | 8.2092 | 0.0224 | 10 | |
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| 8.1956 | 0.0231 | 8.1208 | 0.0222 | 11 | |
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| 8.1285 | 0.0229 | 8.0806 | 0.0219 | 12 | |
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| 8.0345 | 0.0234 | 8.0030 | 0.0220 | 13 | |
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| 7.9960 | 0.0228 | 7.9144 | 0.0224 | 14 | |
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| 7.9065 | 0.0231 | 7.8661 | 0.0221 | 15 | |
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### Framework versions |
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- Transformers 4.32.1 |
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- TensorFlow 2.12.0 |
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- Tokenizers 0.13.3 |
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