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tiny-mlm-glue-wnli-target-glue-rte
This model is a fine-tuned version of muhtasham/tiny-mlm-glue-wnli on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.6882
- Accuracy: 0.5596
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 |
|---|---|---|---|---|
| 0.6475 | 6.41 | 500 | 0.7071 | 0.5596 |
| 0.4526 | 12.82 | 1000 | 0.8708 | 0.5704 |
| 0.2668 | 19.23 | 1500 | 1.1317 | 0.5704 |
| 0.162 | 25.64 | 2000 | 1.4052 | 0.5704 |
| 0.0978 | 32.05 | 2500 | 1.8224 | 0.5812 |
| 0.0658 | 38.46 | 3000 | 2.0893 | 0.5668 |
| 0.0488 | 44.87 | 3500 | 2.4656 | 0.5560 |
| 0.0409 | 51.28 | 4000 | 2.6882 | 0.5596 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2
