| --- |
| license: apache-2.0 |
| base_model: google/mt5-base |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: bcoqa-mt5 |
| 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. --> |
|
|
| # bcoqa-mt5 |
|
|
| 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: 1.1585 |
|
|
| ## 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: 3 |
| - eval_batch_size: 3 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 1 |
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|
| ### Training results |
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|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:-----:|:---------------:| |
| | 1.6025 | 0.22 | 10000 | 1.3188 | |
| | 1.4277 | 0.43 | 20000 | 1.2436 | |
| | 1.2805 | 0.65 | 30000 | 1.1954 | |
| | 1.3656 | 0.86 | 40000 | 1.1585 | |
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| ### Framework versions |
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| - Transformers 4.37.2 |
| - Pytorch 2.1.1+cu121 |
| - Datasets 2.16.1 |
| - Tokenizers 0.15.1 |
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