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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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model-index:
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- name: bart-large-asqa-cb
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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-asqa-cb
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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: 2.4791
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- Rougelsum: 38.2862
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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-06
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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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- num_epochs: 20
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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 | Rougelsum |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|
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| 3.347 | 1.0 | 545 | 2.5353 | 37.3812 |
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| 2.7829 | 2.0 | 1090 | 2.5087 | 37.6431 |
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| 2.6973 | 3.0 | 1635 | 2.4906 | 37.9194 |
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| 2.6125 | 4.0 | 2180 | 2.4812 | 38.1180 |
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| 2.5697 | 5.0 | 2725 | 2.4762 | 38.1616 |
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| 2.5086 | 6.0 | 3270 | 2.4773 | 38.1370 |
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| 2.4678 | 7.0 | 3815 | 2.4831 | 37.9346 |
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| 2.4404 | 8.0 | 4360 | 2.4896 | 38.1150 |
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| 2.3866 | 9.0 | 4905 | 2.4775 | 38.2222 |
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| 2.3791 | 10.0 | 5450 | 2.4791 | 38.2862 |
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### Framework versions
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- Transformers 4.23.0.dev0
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- Pytorch 1.12.1+cu102
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- Datasets 2.4.0
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- Tokenizers 0.12.1
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