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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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datasets:
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- super_glue
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metrics:
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- rouge
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model-index:
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- name: T5_finetuned
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results:
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- task:
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name: Sequence-to-sequence Language Modeling
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type: text2text-generation
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dataset:
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name: super_glue
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type: super_glue
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config: boolq
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split: train
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args: boolq
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metrics:
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- name: Rouge1
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type: rouge
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value: 79.3272
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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_finetuned
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This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the super_glue dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1077
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- Rouge1: 79.3272
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- Rouge2: 0.0
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- Rougel: 79.2966
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- Rougelsum: 79.3272
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- Gen Len: 2.8269
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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: 2e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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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: 3
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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 | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
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| 0.5134 | 1.0 | 590 | 0.1102 | 79.8165 | 0.0 | 79.8165 | 79.8471 | 2.7713 |
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| 0.105 | 2.0 | 1180 | 0.1049 | 80.3364 | 0.0 | 80.3364 | 80.367 | 2.6483 |
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| 0.1023 | 3.0 | 1770 | 0.1077 | 79.3272 | 0.0 | 79.2966 | 79.3272 | 2.8269 |
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### Framework versions
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- Transformers 4.25.1
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- Pytorch 1.13.0+cu116
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- Datasets 2.8.0
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- Tokenizers 0.13.2
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