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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: t5-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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# t5-base-asqa-ob |
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This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) 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: 1.7356 |
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- Rougelsum: 12.0879 |
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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 | 1.8545 | 11.6549 | |
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| 2.4887 | 2.0 | 710 | 1.8050 | 11.7533 | |
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| 1.9581 | 3.0 | 1065 | 1.7843 | 11.8327 | |
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| 1.9581 | 4.0 | 1420 | 1.7722 | 11.9442 | |
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| 1.9252 | 5.0 | 1775 | 1.7648 | 11.9331 | |
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| 1.8853 | 6.0 | 2130 | 1.7567 | 11.9788 | |
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| 1.8853 | 7.0 | 2485 | 1.7519 | 12.0300 | |
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| 1.8512 | 8.0 | 2840 | 1.7483 | 12.0225 | |
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| 1.8328 | 9.0 | 3195 | 1.7451 | 12.0402 | |
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| 1.8115 | 10.0 | 3550 | 1.7436 | 12.0444 | |
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| 1.8115 | 11.0 | 3905 | 1.7419 | 12.0850 | |
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| 1.7878 | 12.0 | 4260 | 1.7408 | 12.1047 | |
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| 1.774 | 13.0 | 4615 | 1.7394 | 12.0839 | |
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| 1.774 | 14.0 | 4970 | 1.7390 | 12.0910 | |
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| 1.7787 | 15.0 | 5325 | 1.7381 | 12.0880 | |
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| 1.7632 | 16.0 | 5680 | 1.7380 | 12.1088 | |
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| 1.7623 | 17.0 | 6035 | 1.7370 | 12.1046 | |
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| 1.7623 | 18.0 | 6390 | 1.7368 | 12.0997 | |
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| 1.7508 | 19.0 | 6745 | 1.7359 | 12.0902 | |
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| 1.7597 | 20.0 | 7100 | 1.7356 | 12.0879 | |
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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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