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tiny-mlm-glue-mrpc-target-glue-mrpc
This model is a fine-tuned version of muhtasham/tiny-mlm-glue-mrpc on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0963
- Accuracy: 0.7034
- F1: 0.7738
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
- num_epochs: 200
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.5884 | 4.35 | 500 | 0.5523 | 0.7059 | 0.8046 |
| 0.4494 | 8.7 | 1000 | 0.5547 | 0.7574 | 0.8358 |
| 0.304 | 13.04 | 1500 | 0.6339 | 0.7525 | 0.8256 |
| 0.1927 | 17.39 | 2000 | 0.7843 | 0.7230 | 0.8000 |
| 0.1179 | 21.74 | 2500 | 1.0963 | 0.7034 | 0.7738 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2
