| | --- |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: mT5_multilingual_XLSum-marathi-summarization |
| | 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_multilingual_XLSum-marathi-summarization |
| |
|
| | 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: 0.0760 |
| |
|
| | ## Model description |
| |
|
| | More information needed |
| |
|
| | ## Intended uses & limitations |
| |
|
| | More information needed |
| |
|
| | ## Training and evaluation data |
| |
|
| | More information needed |
| |
|
| | ## Training procedure |
| |
|
| | ### Training hyperparameters |
| |
|
| | The following hyperparameters were used during training: |
| | - learning_rate: 5e-05 |
| | - train_batch_size: 1 |
| | - eval_batch_size: 1 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 5 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 0.5994 | 0.55 | 100 | 0.1662 | |
| | | 0.2766 | 1.09 | 200 | 0.1032 | |
| | | 0.1967 | 1.64 | 300 | 0.0881 | |
| | | 0.194 | 2.19 | 400 | 0.0850 | |
| | | 0.1667 | 2.73 | 500 | 0.0821 | |
| | | 0.1615 | 3.28 | 600 | 0.0780 | |
| | | 0.1368 | 3.83 | 700 | 0.0783 | |
| | | 0.1372 | 4.37 | 800 | 0.0762 | |
| | | 0.1265 | 4.92 | 900 | 0.0760 | |
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|
| | ### Framework versions |
| |
|
| | - Transformers 4.30.2 |
| | - Pytorch 2.0.0+cpu |
| | - Datasets 2.1.0 |
| | - Tokenizers 0.13.3 |
| |
|
