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tiny-mlm-glue-qnli-from-scratch-custom-tokenizer-target-glue-mnli
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: 1.0072
- Accuracy: 0.4916
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 |
|---|---|---|---|---|
| 1.0989 | 0.04 | 500 | 1.0973 | 0.3669 |
| 1.0942 | 0.08 | 1000 | 1.0892 | 0.3642 |
| 1.0843 | 0.12 | 1500 | 1.0761 | 0.3975 |
| 1.061 | 0.16 | 2000 | 1.0486 | 0.4396 |
| 1.0433 | 0.2 | 2500 | 1.0316 | 0.4621 |
| 1.0325 | 0.24 | 3000 | 1.0251 | 0.4656 |
| 1.0263 | 0.29 | 3500 | 1.0315 | 0.4485 |
| 1.015 | 0.33 | 4000 | 1.0177 | 0.4716 |
| 1.0103 | 0.37 | 4500 | 1.0117 | 0.4828 |
| 1.0053 | 0.41 | 5000 | 1.0072 | 0.4916 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2
