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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: bic-fil-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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# bic-fil-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: 0.4212 |
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- Validation Loss: 2.6637 |
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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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| 6.4138 | 5.0392 | 0 | |
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| 4.7105 | 3.8096 | 1 | |
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| 3.7780 | 3.2907 | 2 | |
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| 3.2925 | 3.0002 | 3 | |
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| 2.9407 | 2.8001 | 4 | |
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| 2.6372 | 2.6142 | 5 | |
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| 2.3310 | 2.4768 | 6 | |
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| 2.1052 | 2.2808 | 7 | |
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| 1.8424 | 2.2372 | 8 | |
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| 1.6298 | 2.2036 | 9 | |
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| 1.4416 | 2.1891 | 10 | |
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| 1.2660 | 2.1835 | 11 | |
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| 1.1067 | 2.2480 | 12 | |
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| 0.9585 | 2.2821 | 13 | |
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| 0.8516 | 2.3494 | 14 | |
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| 0.7260 | 2.4127 | 15 | |
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| 0.6270 | 2.5566 | 16 | |
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| 0.5473 | 2.5503 | 17 | |
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| 0.4718 | 2.6471 | 18 | |
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| 0.4212 | 2.6637 | 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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