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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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datasets: din0s/asqa |
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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 with context (open book). |
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It achieves the following results on the evaluation set: |
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- Loss: 1.7256 |
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- Rougelsum: 13.6463 |
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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: 4 |
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- eval_batch_size: 4 |
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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: 50 |
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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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| 2.5404 | 1.0 | 710 | 1.8160 | 13.0967 | |
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| 2.0048 | 2.0 | 1420 | 1.7752 | 13.2823 | |
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| 1.9116 | 3.0 | 2130 | 1.7574 | 13.3068 | |
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| 1.8722 | 4.0 | 2840 | 1.7469 | 13.3896 | |
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| 1.8298 | 5.0 | 3550 | 1.7395 | 13.4231 | |
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| 1.8397 | 6.0 | 4260 | 1.7347 | 13.5553 | |
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| 1.7575 | 7.0 | 4970 | 1.7303 | 13.5613 | |
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| 1.7433 | 8.0 | 5680 | 1.7266 | 13.5253 | |
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| 1.7502 | 9.0 | 6390 | 1.7254 | 13.5391 | |
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| 1.731 | 10.0 | 7100 | 1.7233 | 13.4958 | |
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| 1.6788 | 11.0 | 7810 | 1.7250 | 13.5977 | |
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| 1.6793 | 12.0 | 8520 | 1.7243 | 13.5956 | |
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| 1.6531 | 13.0 | 9230 | 1.7255 | 13.6186 | |
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| 1.683 | 14.0 | 9940 | 1.7259 | 13.6567 | |
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| 1.6348 | 15.0 | 10650 | 1.7256 | 13.6463 | |
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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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