<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
tiny-mlm-glue-rte-from-scratch-custom-tokenizer-target-glue-mnli
This model is a fine-tuned version of muhtasham/tiny-mlm-glue-rte-from-scratch-custom-tokenizer on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0087
- Accuracy: 0.4894
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 |
|---|---|---|---|---|
| 1.0977 | 0.04 | 500 | 1.0943 | 0.3685 |
| 1.09 | 0.08 | 1000 | 1.0880 | 0.3637 |
| 1.0872 | 0.12 | 1500 | 1.0809 | 0.3874 |
| 1.0675 | 0.16 | 2000 | 1.0475 | 0.4363 |
| 1.0437 | 0.2 | 2500 | 1.0320 | 0.4561 |
| 1.0336 | 0.24 | 3000 | 1.0269 | 0.4584 |
| 1.0281 | 0.29 | 3500 | 1.0301 | 0.4416 |
| 1.0194 | 0.33 | 4000 | 1.0172 | 0.4727 |
| 1.0129 | 0.37 | 4500 | 1.0119 | 0.4852 |
| 1.0066 | 0.41 | 5000 | 1.0087 | 0.4894 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2
