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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-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-pt-asqa-ob |
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This model is a fine-tuned version of [vblagoje/bart_lfqa](https://huggingface.co/vblagoje/bart_lfqa) on the [ASQA](https://huggingface.co/datasets/din0s/asqa) dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.6901 |
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- Rougelsum: 20.7527 |
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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 | 1.6295 | 17.7502 | |
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| 1.6407 | 2.0 | 710 | 1.6144 | 18.5897 | |
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| 1.4645 | 3.0 | 1065 | 1.6222 | 19.3778 | |
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| 1.4645 | 4.0 | 1420 | 1.6522 | 19.6941 | |
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| 1.3678 | 5.0 | 1775 | 1.6528 | 20.3110 | |
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| 1.2671 | 6.0 | 2130 | 1.6879 | 20.6112 | |
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| 1.2671 | 7.0 | 2485 | 1.6901 | 20.7527 | |
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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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