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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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base_model: google/mt5-base |
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model-index: |
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- name: fil-bic-mt5b |
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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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# fil-bic-mt5b |
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This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.2155 |
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- Validation Loss: 2.4691 |
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- Epoch: 19 |
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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': 0.001, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, '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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| 4.8782 | 3.0764 | 0 | |
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| 3.0550 | 2.4897 | 1 | |
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| 2.4361 | 2.1678 | 2 | |
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| 2.0424 | 1.9982 | 3 | |
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| 1.7454 | 1.8860 | 4 | |
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| 1.5089 | 1.8502 | 5 | |
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| 1.3137 | 1.8682 | 6 | |
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| 1.1487 | 1.8252 | 7 | |
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| 0.9793 | 1.8486 | 8 | |
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| 0.8428 | 1.8815 | 9 | |
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| 0.7107 | 1.9716 | 10 | |
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| 0.6015 | 2.0271 | 11 | |
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| 0.5106 | 2.1239 | 12 | |
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| 0.4392 | 2.2095 | 13 | |
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| 0.3786 | 2.2045 | 14 | |
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| 0.3315 | 2.2884 | 15 | |
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| 0.2882 | 2.3419 | 16 | |
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| 0.2587 | 2.4029 | 17 | |
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| 0.2354 | 2.4173 | 18 | |
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| 0.2155 | 2.4691 | 19 | |
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### Framework versions |
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- Transformers 4.37.2 |
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- TensorFlow 2.15.0 |
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- Datasets 2.17.0 |
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- Tokenizers 0.15.2 |
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