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t5-finetuned-for-GEC
This model is a fine-tuned version of t5-base on an unkown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3949
- Bleu: 0.3571
- Gen Len: 19.0
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 0.3958 | 1.0 | 4053 | 0.4236 | 0.3493 | 19.0 |
| 0.3488 | 2.0 | 8106 | 0.4076 | 0.3518 | 19.0 |
| 0.319 | 3.0 | 12159 | 0.3962 | 0.3523 | 19.0 |
| 0.3105 | 4.0 | 16212 | 0.3951 | 0.3567 | 19.0 |
| 0.3016 | 5.0 | 20265 | 0.3949 | 0.3571 | 19.0 |
Framework versions
- Transformers 4.9.1
- Pytorch 1.9.0+cu102
- Datasets 1.11.0
- Tokenizers 0.10.3
