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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: mT5_multilingual_XLSum-marathi-summarization |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# mT5_multilingual_XLSum-marathi-summarization |
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This model is a fine-tuned version of [csebuetnlp/mT5_multilingual_XLSum](https://huggingface.co/csebuetnlp/mT5_multilingual_XLSum) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0760 |
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## 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: |
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- learning_rate: 5e-05 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.5994 | 0.55 | 100 | 0.1662 | |
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| 0.2766 | 1.09 | 200 | 0.1032 | |
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| 0.1967 | 1.64 | 300 | 0.0881 | |
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| 0.194 | 2.19 | 400 | 0.0850 | |
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| 0.1667 | 2.73 | 500 | 0.0821 | |
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| 0.1615 | 3.28 | 600 | 0.0780 | |
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| 0.1368 | 3.83 | 700 | 0.0783 | |
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| 0.1372 | 4.37 | 800 | 0.0762 | |
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| 0.1265 | 4.92 | 900 | 0.0760 | |
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### Framework versions |
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- Transformers 4.30.2 |
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- Pytorch 2.0.0+cpu |
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- Datasets 2.1.0 |
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- Tokenizers 0.13.3 |
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