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--- |
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license: mit |
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base_model: facebook/mbart-large-50 |
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tags: |
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- summarization |
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- generated_from_trainer |
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model-index: |
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- name: mbart-large-50-finetuned-latest |
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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-large-50-finetuned-latest |
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This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co./facebook/mbart-large-50) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.4403 |
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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: 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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- lr_scheduler_warmup_steps: 100 |
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- num_epochs: 8 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 4.7945 | 1.0 | 1320 | 2.9694 | |
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| 2.5912 | 2.0 | 2640 | 2.5685 | |
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| 2.0619 | 3.0 | 3960 | 2.5957 | |
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| 1.6246 | 4.0 | 5280 | 2.6842 | |
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| 1.2513 | 5.0 | 6600 | 2.8918 | |
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| 0.9438 | 6.0 | 7920 | 3.1355 | |
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| 0.714 | 7.0 | 9240 | 3.3191 | |
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| 0.5617 | 8.0 | 10560 | 3.4403 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.1.2 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.2 |
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