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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-finetuned-question-to-answer |
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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-finetuned-question-to-answer |
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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: 0.1153 |
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- Bleu: 42.8973 |
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- Gen Len: 18.69 |
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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: 16 |
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- eval_batch_size: 16 |
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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: 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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| 0.8366 | 1.0 | 516 | 0.3882 | 32.192 | 18.8467 | |
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| 0.7567 | 2.0 | 1032 | 0.3263 | 34.6627 | 18.8333 | |
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| 0.6634 | 3.0 | 1548 | 0.2838 | 34.3455 | 18.8567 | |
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| 0.587 | 4.0 | 2064 | 0.2207 | 37.4365 | 18.8467 | |
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| 0.5178 | 5.0 | 2580 | 0.2778 | 36.1141 | 19.2267 | |
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| 0.4555 | 6.0 | 3096 | 0.1872 | 39.1633 | 18.6967 | |
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| 0.4137 | 7.0 | 3612 | 0.1854 | 39.3042 | 18.98 | |
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| 0.3672 | 8.0 | 4128 | 0.1543 | 40.8359 | 18.68 | |
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| 0.331 | 9.0 | 4644 | 0.1548 | 41.0895 | 18.54 | |
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| 0.3056 | 10.0 | 5160 | 0.1599 | 42.3384 | 18.6767 | |
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| 0.2762 | 11.0 | 5676 | 0.1508 | 41.1395 | 18.8167 | |
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| 0.2533 | 12.0 | 6192 | 0.1224 | 42.1233 | 18.7033 | |
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| 0.2332 | 13.0 | 6708 | 0.1195 | 42.8086 | 18.6967 | |
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| 0.2209 | 14.0 | 7224 | 0.1158 | 43.0663 | 18.72 | |
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| 0.21 | 15.0 | 7740 | 0.1153 | 42.8973 | 18.69 | |
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### Framework versions |
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- Transformers 4.36.2 |
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- Pytorch 2.0.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.15.0 |
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