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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 None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.2086
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- Rougelsum: 11.8466
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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: 0.0005
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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 | 1.7972 | 11.9539 |
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| 1.9198 | 2.0 | 710 | 1.8071 | 12.2057 |
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| 1.504 | 3.0 | 1065 | 1.8566 | 11.9288 |
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| 1.504 | 4.0 | 1420 | 1.9225 | 11.9550 |
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| 1.232 | 5.0 | 1775 | 2.0097 | 11.9038 |
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| 1.0016 | 6.0 | 2130 | 2.0912 | 11.9418 |
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| 1.0016 | 7.0 | 2485 | 2.2086 | 11.8466 |
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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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