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--- |
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license: apache-2.0 |
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base_model: t5-small |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: bedus-creation/t5-small-dataset-ii-eng-lim |
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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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# bedus-creation/t5-small-dataset-ii-eng-lim |
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 6.7467 |
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- Validation Loss: 6.6857 |
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- Epoch: 32 |
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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': 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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| 8.3860 | 7.8693 | 0 | |
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| 7.8568 | 7.6558 | 1 | |
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| 7.6900 | 7.5352 | 2 | |
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| 7.5904 | 7.4631 | 3 | |
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| 7.5155 | 7.4041 | 4 | |
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| 7.4554 | 7.3553 | 5 | |
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| 7.4005 | 7.3036 | 6 | |
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| 7.3547 | 7.2561 | 7 | |
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| 7.3104 | 7.2076 | 8 | |
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| 7.2651 | 7.1736 | 9 | |
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| 7.2302 | 7.1315 | 10 | |
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| 7.1888 | 7.0968 | 11 | |
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| 7.1616 | 7.0651 | 12 | |
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| 7.1290 | 7.0307 | 13 | |
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| 7.1066 | 7.0053 | 14 | |
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| 7.0729 | 6.9707 | 15 | |
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| 7.0388 | 6.9448 | 16 | |
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| 7.0169 | 6.9307 | 17 | |
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| 6.9924 | 6.9024 | 18 | |
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| 6.9716 | 6.8793 | 19 | |
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| 6.9503 | 6.8574 | 20 | |
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| 6.9252 | 6.8467 | 21 | |
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| 6.9136 | 6.8283 | 22 | |
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| 6.8915 | 6.8110 | 23 | |
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| 6.8697 | 6.7949 | 24 | |
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| 6.8531 | 6.7795 | 25 | |
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| 6.8336 | 6.7697 | 26 | |
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| 6.8255 | 6.7512 | 27 | |
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| 6.8080 | 6.7408 | 28 | |
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| 6.7928 | 6.7286 | 29 | |
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| 6.7752 | 6.7145 | 30 | |
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| 6.7629 | 6.7035 | 31 | |
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| 6.7467 | 6.6857 | 32 | |
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### Framework versions |
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- Transformers 4.33.2 |
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- TensorFlow 2.13.0 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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