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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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- text2text-generation |
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- generated_from_trainer |
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metrics: |
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- sacrebleu |
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model-index: |
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- name: vi-correction-t5 |
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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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# vi-correction-t5 |
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This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1465 |
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- Sacrebleu: 0.4788 |
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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: 2e-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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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 32 |
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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: 4 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Sacrebleu | |
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|:-------------:|:------:|:----:|:---------------:|:---------:| |
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| No log | 0.992 | 93 | 0.1898 | 0.1884 | |
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| No log | 1.9947 | 187 | 0.1586 | 0.4429 | |
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| No log | 2.9973 | 281 | 0.1491 | 0.4715 | |
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| No log | 3.968 | 372 | 0.1465 | 0.4788 | |
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### Framework versions |
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- Transformers 4.40.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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