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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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datasets: din0s/asqa |
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model-index: |
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- name: t5-base-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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# t5-base-pt-asqa-ob |
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This model is a fine-tuned version of [din0s/t5-base-msmarco-nlgen-ob](https://huggingface.co/din0s/t5-base-msmarco-nlgen-ob) 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: 1.7481 |
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- Rougelsum: 12.3722 |
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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: 1e-05 |
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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 | 1.8760 | 11.5138 | |
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| 2.1344 | 2.0 | 710 | 1.8322 | 11.6843 | |
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| 1.979 | 3.0 | 1065 | 1.8109 | 11.8592 | |
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| 1.979 | 4.0 | 1420 | 1.7967 | 11.9466 | |
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| 1.9493 | 5.0 | 1775 | 1.7871 | 12.0333 | |
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| 1.9099 | 6.0 | 2130 | 1.7778 | 12.0805 | |
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| 1.9099 | 7.0 | 2485 | 1.7720 | 12.1659 | |
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| 1.8748 | 8.0 | 2840 | 1.7668 | 12.2039 | |
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| 1.8584 | 9.0 | 3195 | 1.7628 | 12.2506 | |
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| 1.8362 | 10.0 | 3550 | 1.7601 | 12.2557 | |
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| 1.8362 | 11.0 | 3905 | 1.7575 | 12.2718 | |
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| 1.8134 | 12.0 | 4260 | 1.7562 | 12.2789 | |
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| 1.7996 | 13.0 | 4615 | 1.7538 | 12.3179 | |
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| 1.7996 | 14.0 | 4970 | 1.7529 | 12.3035 | |
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| 1.8049 | 15.0 | 5325 | 1.7519 | 12.3317 | |
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| 1.7898 | 16.0 | 5680 | 1.7510 | 12.3717 | |
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| 1.7872 | 17.0 | 6035 | 1.7497 | 12.3750 | |
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| 1.7872 | 18.0 | 6390 | 1.7486 | 12.3580 | |
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| 1.7759 | 19.0 | 6745 | 1.7483 | 12.3698 | |
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| 1.785 | 20.0 | 7100 | 1.7481 | 12.3722 | |
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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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