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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: pijarcandra22/NMTIndoBaliT5 |
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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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# pijarcandra22/NMTIndoBaliT5 |
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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: 1.0482 |
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- Validation Loss: 1.3795 |
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- Epoch: 37 |
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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': 1e-04, '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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| 3.2881 | 2.6852 | 0 | |
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| 2.7514 | 2.4004 | 1 | |
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| 2.5012 | 2.2171 | 2 | |
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| 2.3252 | 2.0959 | 3 | |
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| 2.1930 | 1.9901 | 4 | |
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| 2.0837 | 1.9130 | 5 | |
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| 1.9912 | 1.8452 | 6 | |
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| 1.9107 | 1.7974 | 7 | |
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| 1.8459 | 1.7521 | 8 | |
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| 1.7902 | 1.7165 | 9 | |
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| 1.7321 | 1.6842 | 10 | |
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| 1.6811 | 1.6400 | 11 | |
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| 1.6374 | 1.6230 | 12 | |
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| 1.5973 | 1.5960 | 13 | |
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| 1.5588 | 1.5765 | 14 | |
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| 1.5244 | 1.5589 | 15 | |
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| 1.4933 | 1.5370 | 16 | |
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| 1.4588 | 1.5300 | 17 | |
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| 1.4325 | 1.5107 | 18 | |
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| 1.4054 | 1.4970 | 19 | |
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| 1.3730 | 1.4839 | 20 | |
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| 1.3475 | 1.4789 | 21 | |
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| 1.3231 | 1.4616 | 22 | |
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| 1.3035 | 1.4568 | 23 | |
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| 1.2768 | 1.4489 | 24 | |
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| 1.2587 | 1.4396 | 25 | |
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| 1.2380 | 1.4364 | 26 | |
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| 1.2208 | 1.4273 | 27 | |
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| 1.2026 | 1.4228 | 28 | |
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| 1.1755 | 1.4141 | 29 | |
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| 1.1614 | 1.4062 | 30 | |
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| 1.1460 | 1.4060 | 31 | |
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| 1.1289 | 1.3934 | 32 | |
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| 1.1134 | 1.4007 | 33 | |
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| 1.0965 | 1.3927 | 34 | |
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| 1.0818 | 1.3874 | 35 | |
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| 1.0661 | 1.3921 | 36 | |
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| 1.0482 | 1.3795 | 37 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- TensorFlow 2.15.0 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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