small-mlm-glue-mrpc-target-glue-mrpc
This model is a fine-tuned version of muhtasham/small-mlm-glue-mrpc on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.0746
- Accuracy: 0.7377
- F1: 0.8283
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: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- training_steps: 5000
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.3946 | 4.35 | 500 | 0.7489 | 0.7696 | 0.8433 |
| 0.0683 | 8.7 | 1000 | 1.5348 | 0.7647 | 0.8447 |
| 0.0281 | 13.04 | 1500 | 1.6604 | 0.7623 | 0.8412 |
| 0.0192 | 17.39 | 2000 | 2.0746 | 0.7377 | 0.8283 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2