<!-- 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. -->
small-mlm-glue-mnli-target-glue-mrpc
This model is a fine-tuned version of muhtasham/small-mlm-glue-mnli on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.9598
- Accuracy: 0.7721
- F1: 0.8432
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 |
|---|---|---|---|---|---|
| 0.3946 | 4.35 | 500 | 0.8309 | 0.7647 | 0.8476 |
| 0.0715 | 8.7 | 1000 | 1.3662 | 0.7647 | 0.8405 |
| 0.0285 | 13.04 | 1500 | 1.6659 | 0.7647 | 0.8405 |
| 0.0149 | 17.39 | 2000 | 1.8421 | 0.7696 | 0.8396 |
| 0.0158 | 21.74 | 2500 | 1.9587 | 0.7647 | 0.8426 |
| 0.0152 | 26.09 | 3000 | 2.0488 | 0.7672 | 0.848 |
| 0.0147 | 30.43 | 3500 | 1.9463 | 0.7770 | 0.8535 |
| 0.0096 | 34.78 | 4000 | 1.7938 | 0.7819 | 0.8529 |
| 0.0124 | 39.13 | 4500 | 1.8361 | 0.7868 | 0.8538 |
| 0.0152 | 43.48 | 5000 | 1.9598 | 0.7721 | 0.8432 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2
