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--- |
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license: apache-2.0 |
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base_model: facebook/bart-large |
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tags: |
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- generated_from_trainer |
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metrics: |
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- bleu |
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model-index: |
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- name: bart-large-translation-spa-pbb |
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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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# bart-large-translation-spa-pbb |
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This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co./facebook/bart-large) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.6252 |
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- Bleu: 0.233 |
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- Gen Len: 11.0184 |
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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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- lr_scheduler_warmup_steps: 10 |
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- num_epochs: 15 |
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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 | Bleu | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:| |
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| 2.6025 | 1.0 | 304 | 3.0281 | 0.0 | 7.7339 | |
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| 3.694 | 2.0 | 608 | 2.8050 | 0.0 | 5.3307 | |
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| 2.3214 | 3.0 | 912 | 2.6729 | 0.0 | 11.5929 | |
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| 2.0 | 4.0 | 1216 | 2.6280 | 0.4389 | 10.8669 | |
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| 2.0676 | 5.0 | 1520 | 2.6142 | 1.5675 | 9.6904 | |
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| 1.8422 | 6.0 | 1824 | 2.6252 | 0.233 | 11.0184 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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