ielts-task1-grader-ai-v2 – AI Model by diminch | AlphaNeural AI

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diminch/
ielts-task1-grader-ai-v2

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text-classification

generated_from_trainer

FacebookAI/roberta-base

text-embeddings-inference

endpoints_compatible

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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