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tiny-mlm-glue-qnli-from-scratch-custom-tokenizer-target-glue-qnli
This model is a fine-tuned version of muhtasham/tiny-mlm-glue-qnli-from-scratch-custom-tokenizer on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6605
- Accuracy: 0.6096
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 |
|---|---|---|---|---|
| 0.6927 | 0.15 | 500 | 0.6897 | 0.5435 |
| 0.6834 | 0.31 | 1000 | 0.6687 | 0.5883 |
| 0.6709 | 0.46 | 1500 | 0.6631 | 0.6035 |
| 0.6647 | 0.61 | 2000 | 0.6655 | 0.5971 |
| 0.662 | 0.76 | 2500 | 0.6550 | 0.6081 |
| 0.6615 | 0.92 | 3000 | 0.6542 | 0.6150 |
| 0.6511 | 1.07 | 3500 | 0.6699 | 0.6000 |
| 0.6471 | 1.22 | 4000 | 0.6620 | 0.6066 |
| 0.6411 | 1.37 | 4500 | 0.6605 | 0.6096 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2
