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ielts-grader-ai-v2
diminch/ielts-grader-ai-v2
ielts-grader-ai-v2 is a text classification model from diminch. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Nov 16, 2025
- Updated
- Nov 16, 2025
- SHA
- f5ae3007
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Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
ielts-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: 1.4810
- Avg Rmse: 1.2160
- Rmse Task Response: 1.1394
- Rmse Coherence Cohesion: 1.2712
- Rmse Lexical Resource: 1.2136
- Rmse Grammatical Range: 1.2397
- Mae Task Response: 0.8659
- Mae Coherence Cohesion: 0.9528
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 |
|---|---|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 416 | 1.5865 | 1.2581 | 1.1674 | 1.3352 | 1.2487 | 1.2810 | 0.9288 | 1.0698 |
| 3.4704 | 2.0 | 832 | 1.4810 | 1.2160 | 1.1394 | 1.2712 | 1.2136 | 1.2397 | 0.8659 | 0.9528 |
| 1.3657 | 3.0 | 1248 | 1.4857 | 1.2178 | 1.1355 | 1.2711 | 1.2265 | 1.2384 | 0.8511 | 0.9430 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Nov 16, 2025
- Updated
- Nov 16, 2025