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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-ob
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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-ob
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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: 1.5919
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- Rougelsum: 19.1048
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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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| No log | 1.0 | 355 | 1.6256 | 18.3700 |
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| 1.8462 | 2.0 | 710 | 1.5966 | 18.3464 |
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| 1.6704 | 3.0 | 1065 | 1.5906 | 18.6009 |
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| 1.6704 | 4.0 | 1420 | 1.5841 | 18.2794 |
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| 1.6087 | 5.0 | 1775 | 1.5852 | 18.4272 |
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| 1.5364 | 6.0 | 2130 | 1.5989 | 18.9977 |
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| 1.5364 | 7.0 | 2485 | 1.5902 | 18.7631 |
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| 1.4746 | 8.0 | 2840 | 1.5917 | 18.9565 |
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| 1.4336 | 9.0 | 3195 | 1.5919 | 19.1048 |
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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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