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--- |
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library_name: transformers |
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license: mit |
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base_model: facebook/bart-large-xsum |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: mt5-tr-sci-ms-hi |
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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-tr-sci-ms-hi |
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This model is a fine-tuned version of [facebook/bart-large-xsum](https://huggingface.co./facebook/bart-large-xsum) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6893 |
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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: 2e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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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: 6 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.8353 | 1.0 | 1092 | 0.8242 | |
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| 0.7147 | 2.0 | 2184 | 0.7895 | |
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| 0.6406 | 3.0 | 3276 | 0.7240 | |
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| 0.5895 | 4.0 | 4368 | 0.6920 | |
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| 0.5481 | 5.0 | 5460 | 0.7009 | |
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| 0.5175 | 6.0 | 6552 | 0.6893 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.3.1.post300 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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