| --- |
| license: apache-2.0 |
| base_model: t5-base |
| tags: |
| - generated_from_trainer |
| metrics: |
| - bleu |
| model-index: |
| - name: EngToFil |
| 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. --> |
|
|
| # EngToFil |
|
|
| This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.9377 |
| - Bleu: 17.4001 |
| - Gen Len: 17.2588 |
|
|
| ## Model description |
|
|
| More information needed |
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|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
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|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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|
| The following hyperparameters were used during training: |
| - learning_rate: 0.002 |
| - train_batch_size: 32 |
| - eval_batch_size: 32 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 3 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:| |
| | 0.5791 | 1.0 | 2438 | 1.0743 | 12.9852 | 17.3555 | |
| | 0.3516 | 2.0 | 4876 | 0.9317 | 16.1227 | 17.3014 | |
| | 0.2143 | 3.0 | 7314 | 0.9377 | 17.4001 | 17.2588 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.35.2 |
| - Pytorch 2.1.0+cu121 |
| - Datasets 2.17.0 |
| - Tokenizers 0.15.1 |
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|
