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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/t5Indo2Sunda |
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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/t5Indo2Sunda |
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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: 2.6334 |
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- Validation Loss: 2.4559 |
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- Epoch: 34 |
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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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| 4.3724 | 3.9124 | 0 | |
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| 3.9887 | 3.6348 | 1 | |
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| 3.7534 | 3.4215 | 2 | |
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| 3.5819 | 3.2847 | 3 | |
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| 3.4632 | 3.1902 | 4 | |
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| 3.3751 | 3.1139 | 5 | |
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| 3.3039 | 3.0493 | 6 | |
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| 3.2447 | 2.9955 | 7 | |
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| 3.1911 | 2.9481 | 8 | |
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| 3.1455 | 2.9082 | 9 | |
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| 3.1068 | 2.8718 | 10 | |
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| 3.0697 | 2.8387 | 11 | |
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| 3.0381 | 2.8105 | 12 | |
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| 3.0050 | 2.7825 | 13 | |
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| 2.9796 | 2.7568 | 14 | |
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| 2.9510 | 2.7350 | 15 | |
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| 2.9259 | 2.7096 | 16 | |
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| 2.9053 | 2.6881 | 17 | |
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| 2.8833 | 2.6696 | 18 | |
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| 2.8599 | 2.6510 | 19 | |
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| 2.8403 | 2.6328 | 20 | |
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| 2.8207 | 2.6171 | 21 | |
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| 2.8046 | 2.5999 | 22 | |
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| 2.7861 | 2.5857 | 23 | |
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| 2.7715 | 2.5699 | 24 | |
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| 2.7557 | 2.5542 | 25 | |
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| 2.7387 | 2.5420 | 26 | |
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| 2.7225 | 2.5299 | 27 | |
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| 2.7085 | 2.5182 | 28 | |
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| 2.6950 | 2.5081 | 29 | |
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| 2.6818 | 2.4951 | 30 | |
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| 2.6687 | 2.4864 | 31 | |
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| 2.6578 | 2.4760 | 32 | |
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| 2.6461 | 2.4651 | 33 | |
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| 2.6334 | 2.4559 | 34 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- TensorFlow 2.14.0 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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