roberta-base-finetuned-cola-hps
This model is a fine-tuned version of roberta-base on the glue dataset. It achieves the following results on the evaluation set:
- Loss: 1.4407
- Matthews Correlation: 0.4499
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: 3.1634762591825634e-05
- train_batch_size: 8
- eval_batch_size: 16
- seed: 35
- 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 |
|---|---|---|---|---|
| No log | 1.0 | 107 | 0.5371 | 0.4037 |
| No log | 2.0 | 214 | 0.8207 | 0.3212 |
| No log | 3.0 | 321 | 1.1269 | 0.4613 |
| No log | 4.0 | 428 | 1.2901 | 0.4852 |
| 0.341 | 5.0 | 535 | 1.4407 | 0.4499 |
Framework versions
- Transformers 4.16.2
- Pytorch 2.2.1+cu121
- Datasets 1.16.1
- Tokenizers 0.19.1
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