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tiny-mlm-glue-mnli-from-scratch-custom-tokenizer-target-glue-mnli
This model is a fine-tuned version of muhtasham/tiny-mlm-glue-mnli-from-scratch-custom-tokenizer on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0101
- Accuracy: 0.4803
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 |
|---|---|---|---|---|
| 1.0983 | 0.04 | 500 | 1.0959 | 0.3689 |
| 1.0911 | 0.08 | 1000 | 1.0872 | 0.3711 |
| 1.0844 | 0.12 | 1500 | 1.0766 | 0.3948 |
| 1.0647 | 0.16 | 2000 | 1.0568 | 0.4272 |
| 1.0482 | 0.2 | 2500 | 1.0364 | 0.4501 |
| 1.0385 | 0.24 | 3000 | 1.0274 | 0.4595 |
| 1.0298 | 0.29 | 3500 | 1.0287 | 0.4501 |
| 1.0209 | 0.33 | 4000 | 1.0215 | 0.4656 |
| 1.0144 | 0.37 | 4500 | 1.0139 | 0.4786 |
| 1.0111 | 0.41 | 5000 | 1.0101 | 0.4803 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2
