| --- |
| base_model: csebuetnlp/mT5_multilingual_XLSum |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: mt5-sci-fl |
| 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-sci-fl |
|
|
| This model is a fine-tuned version of [csebuetnlp/mT5_multilingual_XLSum](https://huggingface.co/csebuetnlp/mT5_multilingual_XLSum) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 2.9837 |
|
|
| ## 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: 2e-05 |
| - train_batch_size: 2 |
| - eval_batch_size: 2 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 6 |
|
|
| ### Training results |
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|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:-----:|:---------------:| |
| | 3.5927 | 1.0 | 2904 | 3.2806 | |
| | 3.3361 | 2.0 | 5808 | 3.1240 | |
| | 3.2328 | 3.0 | 8712 | 3.0544 | |
| | 3.154 | 4.0 | 11616 | 3.0139 | |
| | 3.0892 | 5.0 | 14520 | 2.9940 | |
| | 3.1044 | 6.0 | 17424 | 2.9837 | |
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| ### Framework versions |
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|
| - Transformers 4.40.2 |
| - Pytorch 2.4.1.post300 |
| - Datasets 2.19.1 |
| - Tokenizers 0.19.1 |
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|
