| --- |
| license: mit |
| base_model: VietAI/vit5-base |
| tags: |
| - generated_from_trainer |
| metrics: |
| - rouge |
| model-index: |
| - name: ViT5_Machine_Translation |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # ViT5_Machine_Translation |
|
|
| This model is a fine-tuned version of [VietAI/vit5-base](https://huggingface.co/VietAI/vit5-base) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 2.3481 |
| - Rouge1: 49.4584 |
| - Rouge2: 27.2521 |
| - Rougel: 44.5139 |
| - Rougelsum: 44.606 |
| - Gen Len: 10.524 |
|
|
| ## 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: |
| - learning_rate: 5e-05 |
| - train_batch_size: 4 |
| - eval_batch_size: 4 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 1 |
|
|
| ### Training results |
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|
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
| |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| |
| | 2.3659 | 1.0 | 12500 | 2.3481 | 49.4584 | 27.2521 | 44.5139 | 44.606 | 10.524 | |
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| ### Framework versions |
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|
| - Transformers 4.41.0 |
| - Pytorch 2.3.0+cu121 |
| - Datasets 2.19.1 |
| - Tokenizers 0.19.1 |
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|
