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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: Metformin/T5model_medFineTune |
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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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# Metformin/T5model_medFineTune |
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 9.0442 |
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- Validation Loss: 6.1005 |
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- Epoch: 9 |
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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': 1e-05, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 1e-05, 'decay_steps': 7820, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, '__passive_serialization__': True}, 'warmup_steps': 100, 'power': 1.0, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Validation Loss | Epoch | |
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|:----------:|:---------------:|:-----:| |
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| 42.6321 | 28.0647 | 0 | |
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| 31.2672 | 21.0068 | 1 | |
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| 24.8310 | 16.6186 | 2 | |
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| 20.5368 | 13.8025 | 3 | |
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| 17.3796 | 11.7180 | 4 | |
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| 15.0329 | 10.0404 | 5 | |
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| 13.0886 | 8.6286 | 6 | |
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| 11.5235 | 7.5594 | 7 | |
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| 10.1123 | 6.8079 | 8 | |
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| 9.0442 | 6.1005 | 9 | |
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### Framework versions |
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- Transformers 4.18.0 |
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- TensorFlow 2.6.3 |
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- Datasets 2.0.0 |
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- Tokenizers 0.12.1 |
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