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update model card README.md
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README.md
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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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metrics:
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- accuracy
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model-index:
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- name: superglue-boolq
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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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# superglue-boolq
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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: 0.2098
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- Accuracy: 76.7584
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- Average Metrics: 76.7584
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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: 0.0003
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- train_batch_size: 32
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- eval_batch_size: 32
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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: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Average Metrics |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------------:|
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| No log | 0.34 | 100 | 0.2293 | 73.2722 | 73.2722 |
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| No log | 0.68 | 200 | 0.2098 | 76.7584 | 76.7584 |
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### Framework versions
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- Transformers 4.18.0
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- Pytorch 1.10.2+cu111
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- Datasets 1.17.0
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- Tokenizers 0.12.1
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