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small-mlm-snli-target-glue-mrpc
This model is a fine-tuned version of muhtasham/small-mlm-snli on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.0653
- Accuracy: 0.7672
- F1: 0.8435
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 | F1 |
|---|---|---|---|---|---|
| 0.3892 | 4.35 | 500 | 0.8390 | 0.7696 | 0.8513 |
| 0.07 | 8.7 | 1000 | 1.4754 | 0.7623 | 0.8407 |
| 0.0271 | 13.04 | 1500 | 1.5892 | 0.7843 | 0.8523 |
| 0.0167 | 17.39 | 2000 | 1.8798 | 0.7672 | 0.8440 |
| 0.0165 | 21.74 | 2500 | 1.8089 | 0.7721 | 0.8463 |
| 0.0123 | 26.09 | 3000 | 2.0653 | 0.7672 | 0.8435 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2
