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small-mlm-glue-rte-target-glue-qnli
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: 0.3460
- Accuracy: 0.8565
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 |
|---|---|---|---|---|
| 0.484 | 0.15 | 500 | 0.3909 | 0.8314 |
| 0.4419 | 0.31 | 1000 | 0.3811 | 0.8373 |
| 0.4211 | 0.46 | 1500 | 0.3588 | 0.8459 |
| 0.4101 | 0.61 | 2000 | 0.3677 | 0.8384 |
| 0.4092 | 0.76 | 2500 | 0.3361 | 0.8528 |
| 0.3922 | 0.92 | 3000 | 0.3280 | 0.8567 |
| 0.3499 | 1.07 | 3500 | 0.3402 | 0.8587 |
| 0.3163 | 1.22 | 4000 | 0.3374 | 0.8622 |
| 0.3145 | 1.37 | 4500 | 0.3471 | 0.8565 |
| 0.3202 | 1.53 | 5000 | 0.3460 | 0.8565 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2
