metadata
license: mit
base_model: microsoft/deberta-v3-small
tags:
- generated_from_trainer
metrics:
- matthews_correlation
model-index:
- name: deberta-v3-small-finetuned-cola
results: []
deberta-v3-small-finetuned-cola
This model is a fine-tuned version of microsoft/deberta-v3-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7179
- Matthews Correlation: 0.6656
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|---|---|---|---|---|
| 0.4436 | 1.0 | 535 | 0.3638 | 0.6183 |
| 0.2716 | 2.0 | 1070 | 0.4258 | 0.6594 |
| 0.1925 | 3.0 | 1605 | 0.5938 | 0.6431 |
| 0.1433 | 4.0 | 2140 | 0.7477 | 0.6406 |
| 0.1038 | 5.0 | 2675 | 0.7179 | 0.6656 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2