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distilbert_sa_GLUE_Experiment_cola
This model is a fine-tuned version of distilbert-base-uncased on the GLUE COLA dataset. It achieves the following results on the evaluation set:
- Loss: 0.6150
- Matthews Correlation: -0.0293
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: 5e-05
- train_batch_size: 256
- eval_batch_size: 256
- seed: 10
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|---|---|---|---|---|
| 0.6207 | 1.0 | 34 | 0.6165 | 0.0 |
| 0.6034 | 2.0 | 68 | 0.6150 | -0.0293 |
| 0.5759 | 3.0 | 102 | 0.6505 | -0.0293 |
| 0.5443 | 4.0 | 136 | 0.6320 | 0.0549 |
| 0.4957 | 5.0 | 170 | 0.6662 | 0.1327 |
| 0.4623 | 6.0 | 204 | 0.7247 | 0.0675 |
| 0.4249 | 7.0 | 238 | 0.7533 | 0.0972 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.14.0a0+410ce96
- Datasets 2.8.0
- Tokenizers 0.13.2
