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library_name: transformers
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license: apache-2.0
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base_model: t5-base
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tags:
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- generated_from_trainer
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metrics:
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- bleu
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model-index:
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- name: t5-grammar-corrector
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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-grammar-corrector
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This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0300
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- Exact Match: 0.1374
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- Bleu: 58.1578
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- M2 Precision: 0.6745
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- M2 Recall: 50
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- M2 Fscore: 0.8403
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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: 3e-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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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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 | Exact Match | Bleu | M2 Precision | M2 Recall | M2 Fscore |
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|:-------------:|:-----:|:-----:|:---------------:|:-----------:|:-------:|:------------:|:---------:|:---------:|
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| 0.0265 | 1.0 | 3559 | 0.0331 | 0.1343 | 58.3430 | 33.2490 | 50 | 35.6368 |
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| 0.0293 | 2.0 | 7118 | 0.0313 | 0.1417 | 58.5254 | 29.6796 | 50 | 32.3054 |
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| 0.0284 | 3.0 | 10677 | 0.0313 | 0.1419 | 58.5583 | 30.5509 | 50 | 33.1281 |
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### Framework versions
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- Transformers 4.51.3
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- Pytorch 2.6.0+cu124
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- Datasets 3.5.0
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- Tokenizers 0.21.1
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