metadata
library_name: transformers
license: mit
base_model: microsoft/deberta-v3-large
tags:
- generated_from_trainer
model-index:
- name: grammar-classifier
results: []
grammar-classifier
This model is a fine-tuned version of microsoft/deberta-v3-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.0967
- Exact Match: 0.0
- Micro F1: 0.3075
- Macro F1: 0.0334
- Hamming Accuracy: 0.8806
- Avg Pred Positives: 34.0
- Avg Gold Positives: 13.5736
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: 32
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- 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: cosine
- lr_scheduler_warmup_steps: 0.2
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Exact Match | Micro F1 | Macro F1 | Hamming Accuracy | Avg Pred Positives | Avg Gold Positives |
|---|---|---|---|---|---|---|---|---|---|
| 0.2930 | 0.5 | 164 | 0.5663 | 0.0 | 0.3139 | 0.0288 | 0.9041 | 25.0 | 13.5736 |
| 0.1928 | 1.0 | 328 | 0.2720 | 0.0 | 0.4392 | 0.0256 | 0.9460 | 13.0 | 13.5736 |
| 0.0751 | 1.5 | 492 | 0.0559 | 0.0 | 0.5244 | 0.0234 | 0.9628 | 8.0 | 13.5736 |
| 33.3599 | 2.0 | 656 | 13.5265 | 0.0 | 0.2931 | 0.0226 | 0.9114 | 21.0 | 13.5736 |
| 19.0859 | 2.5 | 820 | 10.5864 | 0.0 | 0.2214 | 0.0302 | 0.8376 | 44.0 | 13.5736 |
| 8.6145 | 3.0 | 984 | 4.0967 | 0.0 | 0.3075 | 0.0334 | 0.8806 | 34.0 | 13.5736 |
Framework versions
- Transformers 5.2.0
- Pytorch 2.10.0+cu128
- Datasets 4.5.0
- Tokenizers 0.22.2