tiny-mlm-snli-target-glue-rte
This model is a fine-tuned version of muhtasham/tiny-mlm-snli on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.6539
- Accuracy: 0.5957
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 |
|---|---|---|---|---|
| 0.6405 | 6.41 | 500 | 0.6868 | 0.6137 |
| 0.4338 | 12.82 | 1000 | 0.8381 | 0.6209 |
| 0.268 | 19.23 | 1500 | 1.0333 | 0.6101 |
| 0.1556 | 25.64 | 2000 | 1.3555 | 0.5921 |
| 0.101 | 32.05 | 2500 | 1.6539 | 0.5957 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2