mobilebert_sa_GLUE_Experiment_logit_kd_data_aug_cola
This model is a fine-tuned version of google/mobilebert-uncased on the GLUE COLA dataset. It achieves the following results on the evaluation set:
- Loss: 0.6837
- Matthews Correlation: 0.1055
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: 5e-05
- train_batch_size: 128
- eval_batch_size: 128
- seed: 10
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|---|---|---|---|---|
| 0.6247 | 1.0 | 1669 | 0.6837 | 0.1055 |
| 0.5458 | 2.0 | 3338 | 0.7216 | 0.1168 |
| 0.5041 | 3.0 | 5007 | 0.7127 | 0.1296 |
| 0.4445 | 4.0 | 6676 | 0.7718 | 0.1436 |
| 0.3961 | 5.0 | 8345 | 0.8417 | 0.1284 |
| 0.3603 | 6.0 | 10014 | 0.7805 | 0.1240 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.14.0a0+410ce96
- Datasets 2.9.0
- Tokenizers 0.13.2
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