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small-mlm-glue-mrpc-target-glue-mnli
This model is a fine-tuned version of muhtasham/small-mlm-glue-mrpc on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6541
- Accuracy: 0.7253
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 |
|---|---|---|---|---|
| 0.9151 | 0.04 | 500 | 0.8235 | 0.6375 |
| 0.8111 | 0.08 | 1000 | 0.7776 | 0.6659 |
| 0.7745 | 0.12 | 1500 | 0.7510 | 0.6748 |
| 0.7502 | 0.16 | 2000 | 0.7329 | 0.6886 |
| 0.7431 | 0.2 | 2500 | 0.7189 | 0.6921 |
| 0.7325 | 0.24 | 3000 | 0.7032 | 0.6991 |
| 0.7139 | 0.29 | 3500 | 0.6793 | 0.7129 |
| 0.7031 | 0.33 | 4000 | 0.6678 | 0.7215 |
| 0.6778 | 0.37 | 4500 | 0.6761 | 0.7236 |
| 0.6811 | 0.41 | 5000 | 0.6541 | 0.7253 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2
