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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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- text2text-generation |
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- generated_from_trainer |
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metrics: |
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- sacrebleu |
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model-index: |
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- name: model_v1e_5_8_8_4 |
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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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# model_v1e_5_8_8_4 |
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This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5522 |
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- Sacrebleu: 66.9834 |
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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: 1e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 64 |
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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: 10 |
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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 | Sacrebleu | |
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|:-------------:|:-----:|:----:|:---------------:|:---------:| |
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| No log | 1.0 | 218 | 0.5616 | 66.0295 | |
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| No log | 2.0 | 437 | 0.5691 | 66.6355 | |
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| No log | 3.0 | 656 | 0.5544 | 66.8901 | |
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| No log | 4.0 | 875 | 0.5522 | 66.9834 | |
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| No log | 5.0 | 1093 | 0.5686 | 67.0746 | |
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| No log | 6.0 | 1312 | 0.5995 | 67.1015 | |
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| No log | 7.0 | 1531 | 0.5663 | 67.1106 | |
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| No log | 8.0 | 1750 | 0.5860 | 67.0824 | |
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| No log | 9.0 | 1968 | 0.6075 | 67.1805 | |
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| No log | 9.97 | 2180 | 0.6105 | 67.1350 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.1.2 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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