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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-guc |
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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-guc |
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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: 0.8484 |
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- Bleu: 3.2289 |
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- Gen Len: 18.2771 |
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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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| 1.5556 | 1.0 | 7668 | 1.2930 | 1.2368 | 18.9444 | |
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| 1.4604 | 2.0 | 15336 | 1.0780 | 1.9761 | 18.4493 | |
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| 0.8076 | 3.0 | 23004 | 0.9928 | 2.2387 | 18.297 | |
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| 1.1913 | 4.0 | 30672 | 0.9398 | 2.6084 | 18.2087 | |
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| 0.8532 | 5.0 | 38340 | 0.8947 | 2.5809 | 18.2469 | |
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| 0.6234 | 6.0 | 46008 | 0.8649 | 2.7376 | 18.2842 | |
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| 0.7989 | 7.0 | 53676 | 0.8535 | 2.8415 | 18.2283 | |
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| 0.6287 | 8.0 | 61344 | 0.8512 | 2.9061 | 18.1744 | |
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| 0.7429 | 9.0 | 69012 | 0.8471 | 2.9767 | 18.4115 | |
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| 0.3585 | 10.0 | 76680 | 0.8442 | 3.1551 | 18.2665 | |
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| 1.0195 | 11.0 | 84348 | 0.8484 | 3.2289 | 18.2771 | |
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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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