ielts-task1-grader-ai-v2

This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.5069
• Avg Rmse: 0.7110
• Rmse Task Response: 0.6879
• Rmse Coherence Cohesion: 0.6821
• Rmse Lexical Resource: 0.7008
• Rmse Grammatical Range: 0.7734
• Mae Task Response: 0.5352
• Mae Coherence Cohesion: 0.5415

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Avg Rmse	Rmse Task Response	Rmse Coherence Cohesion	Rmse Lexical Resource	Rmse Grammatical Range	Mae Task Response	Mae Coherence Cohesion
0.646	1.0	1567	0.5069	0.7110	0.6879	0.6821	0.7008	0.7734	0.5352	0.5415
0.4782	2.0	3134	0.6015	0.7742	0.7141	0.7474	0.8013	0.8339	0.5358	0.5963
0.3723	3.0	4701	0.5405	0.7339	0.6873	0.7101	0.7358	0.8025	0.5101	0.5491

Framework versions

• Transformers 4.57.2
• Pytorch 2.9.0+cu126
• Datasets 4.0.0
• Tokenizers 0.22.1