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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-base-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-base-asqa-ob |
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This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.8291 |
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- Rougelsum: 13.0645 |
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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 | 1.9076 | 13.1069 | |
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| 2.2336 | 2.0 | 710 | 1.8749 | 13.0551 | |
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| 2.048 | 3.0 | 1065 | 1.8580 | 13.1287 | |
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| 2.048 | 4.0 | 1420 | 1.8413 | 13.1473 | |
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| 2.0003 | 5.0 | 1775 | 1.8451 | 13.1264 | |
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| 1.9423 | 6.0 | 2130 | 1.8360 | 13.0959 | |
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| 1.9423 | 7.0 | 2485 | 1.8372 | 13.1289 | |
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| 1.8894 | 8.0 | 2840 | 1.8275 | 13.1359 | |
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| 1.8568 | 9.0 | 3195 | 1.8241 | 13.0983 | |
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| 1.8279 | 10.0 | 3550 | 1.8279 | 13.0184 | |
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| 1.8279 | 11.0 | 3905 | 1.8275 | 13.1177 | |
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| 1.7871 | 12.0 | 4260 | 1.8279 | 13.0871 | |
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| 1.7666 | 13.0 | 4615 | 1.8295 | 13.0992 | |
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| 1.7666 | 14.0 | 4970 | 1.8291 | 13.0645 | |
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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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