small-mlm-glue-rte-target-glue-sst2
This model is a fine-tuned version of muhtasham/small-mlm-glue-rte on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4047
- Accuracy: 0.8853
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 |
|---|---|---|---|---|
| 0.39 | 0.24 | 500 | 0.3545 | 0.8452 |
| 0.3071 | 0.48 | 1000 | 0.3333 | 0.8486 |
| 0.2584 | 0.71 | 1500 | 0.3392 | 0.8716 |
| 0.2388 | 0.95 | 2000 | 0.3082 | 0.8807 |
| 0.1863 | 1.19 | 2500 | 0.3273 | 0.8865 |
| 0.1691 | 1.43 | 3000 | 0.3945 | 0.8704 |
| 0.1675 | 1.66 | 3500 | 0.3601 | 0.8853 |
| 0.1713 | 1.9 | 4000 | 0.3341 | 0.8899 |
| 0.1368 | 2.14 | 4500 | 0.4622 | 0.8532 |
| 0.1251 | 2.38 | 5000 | 0.4047 | 0.8853 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2