| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: google/mt5-base |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: mt5-base-encoding-correction-1k |
| 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. --> |
|
|
| # mt5-base-encoding-correction-1k |
|
|
| This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.0494 |
|
|
| ## Model description |
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| More information needed |
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|
| ## Intended uses & limitations |
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| 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: 0.0001 |
| - train_batch_size: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 600 |
| - num_epochs: 20 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 0.3405 | 1.0 | 500 | 0.0660 | |
| | 0.0623 | 2.0 | 1000 | 0.0450 | |
| | 0.0523 | 3.0 | 1500 | 0.0467 | |
| | 0.0322 | 4.0 | 2000 | 0.0411 | |
| | 0.0282 | 5.0 | 2500 | 0.0435 | |
| | 0.0204 | 6.0 | 3000 | 0.0433 | |
| | 0.0150 | 7.0 | 3500 | 0.0494 | |
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|
| ### Framework versions |
|
|
| - Transformers 5.10.1 |
| - Pytorch 2.11.0+cu128 |
| - Datasets 4.0.0 |
| - Tokenizers 0.22.2 |
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|
