lim-gec

This model is a fine-tuned version of gotutiyan/gec-t5-large-clang8 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0217

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: 0.0003
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 256
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
0.4193	0.1348	500	0.0352
0.3001	0.2697	1000	0.0286
0.2633	0.4045	1500	0.0260
0.2293	0.5394	2000	0.0246
0.2215	0.6742	2500	0.0236
0.2161	0.8090	3000	0.0221
0.2158	0.9439	3500	0.0217

Framework versions

• Transformers 5.2.0
• Pytorch 2.7.0+cu126
• Datasets 4.6.1
• Tokenizers 0.22.2