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