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--- |
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library_name: transformers |
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license: mit |
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base_model: aparajitha/mbart-sci-ft |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: mbart-ft-sci-ms-en |
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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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# mbart-ft-sci-ms-en |
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This model is a fine-tuned version of [aparajitha/mbart-sci-ft](https://huggingface.co/aparajitha/mbart-sci-ft) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.0887 |
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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: 8 |
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- eval_batch_size: 8 |
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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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| No log | 1.0 | 274 | 2.1670 | |
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| 2.2407 | 2.0 | 548 | 2.0965 | |
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| 2.2407 | 3.0 | 822 | 2.0736 | |
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| 1.8351 | 4.0 | 1096 | 2.0798 | |
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| 1.8351 | 5.0 | 1370 | 2.0785 | |
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| 1.6666 | 6.0 | 1644 | 2.0887 | |
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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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