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--- |
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license: apache-2.0 |
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base_model: t5-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: t5-base-en-to-svo-converter |
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results: [] |
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--- |
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# t5-base-en-to-svo-converter |
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This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an custom dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 1.4502 |
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- Validation Loss: 0.9447 |
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- Epoch: 29 |
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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': 2e-05, '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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| 6.1759 | 5.0248 | 0 | |
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| 4.8012 | 4.0190 | 1 | |
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| 4.1438 | 3.3283 | 2 | |
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| 3.6919 | 3.0962 | 3 | |
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| 3.4139 | 2.7165 | 4 | |
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| 3.2353 | 2.6857 | 5 | |
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| 3.0536 | 2.5674 | 6 | |
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| 2.9421 | 2.3690 | 7 | |
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| 2.7912 | 2.2234 | 8 | |
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| 2.7126 | 2.0857 | 9 | |
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| 2.5692 | 1.9333 | 10 | |
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| 2.4803 | 1.8273 | 11 | |
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| 2.3759 | 1.7388 | 12 | |
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| 2.3160 | 1.6881 | 13 | |
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| 2.2398 | 1.6645 | 14 | |
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| 2.1722 | 1.6141 | 15 | |
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| 2.1018 | 1.6087 | 16 | |
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| 2.0382 | 1.4362 | 17 | |
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| 1.9601 | 1.3715 | 18 | |
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| 1.8813 | 1.3523 | 19 | |
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| 1.8604 | 1.2811 | 20 | |
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| 1.8046 | 1.3163 | 21 | |
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| 1.7001 | 1.2058 | 22 | |
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| 1.7068 | 1.2065 | 23 | |
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| 1.6475 | 1.1352 | 24 | |
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| 1.5943 | 1.1278 | 25 | |
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| 1.5792 | 0.9393 | 26 | |
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| 1.5407 | 1.0137 | 27 | |
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| 1.4625 | 1.0382 | 28 | |
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| 1.4502 | 0.9447 | 29 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- TensorFlow 2.14.0 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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