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--- |
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tags: |
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- generated_from_trainer |
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base_model: Wikidepia/IndoT5-base |
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model-index: |
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- name: my-random-t5-ft |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# my-random-t5-ft |
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This model is a fine-tuned version of [Wikidepia/IndoT5-base](https://huggingface.co/Wikidepia/IndoT5-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0023 |
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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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- learning_rate: 5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 1.1845 | 0.1 | 1629 | 0.0037 | |
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| 0.0059 | 0.2 | 3258 | 0.0027 | |
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| 0.0048 | 0.3 | 4887 | 0.0026 | |
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| 0.003 | 0.4 | 6516 | 0.0028 | |
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| 0.0039 | 0.5 | 8145 | 0.0022 | |
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| 0.0023 | 0.6 | 9774 | 0.0023 | |
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| 0.0024 | 0.7 | 11403 | 0.0019 | |
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| 0.0015 | 0.8 | 13032 | 0.0022 | |
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| 0.0011 | 0.9 | 14661 | 0.0024 | |
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| 0.0018 | 1.0 | 16290 | 0.0023 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.1.2 |
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- Datasets 2.19.0 |
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- Tokenizers 0.15.2 |
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