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--- |
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license: mit |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: bart-pt-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-pt-asqa-cb |
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This model is a fine-tuned version of [vblagoje/bart_lfqa](https://huggingface.co/vblagoje/bart_lfqa) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.5362 |
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- Rougelsum: 38.9467 |
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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: 16 |
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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 | 273 | 2.5653 | 37.6939 | |
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| 2.6009 | 2.0 | 546 | 2.5295 | 38.2398 | |
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| 2.6009 | 3.0 | 819 | 2.5315 | 38.5946 | |
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| 2.3852 | 4.0 | 1092 | 2.5146 | 38.4771 | |
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| 2.3852 | 5.0 | 1365 | 2.5240 | 38.5706 | |
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| 2.2644 | 6.0 | 1638 | 2.5253 | 38.7506 | |
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| 2.2644 | 7.0 | 1911 | 2.5355 | 38.9004 | |
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| 2.1703 | 8.0 | 2184 | 2.5309 | 38.9528 | |
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| 2.1703 | 9.0 | 2457 | 2.5362 | 38.9467 | |
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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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