tinybert_train_book_ent_15p_inv_cola
This model is a fine-tuned version of gokulsrinivasagan/tinybert_train_book_ent_15p_inv on the GLUE COLA dataset. It achieves the following results on the evaluation set:
- Loss: 0.6106
- Matthews Correlation: 0.0969
- Accuracy: 0.6903
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: 256
- eval_batch_size: 256
- seed: 10
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation | Accuracy |
|---|---|---|---|---|---|
| 0.6137 | 1.0 | 34 | 0.6152 | 0.0 | 0.6913 |
| 0.596 | 2.0 | 68 | 0.6139 | 0.0137 | 0.6903 |
| 0.5732 | 3.0 | 102 | 0.6106 | 0.0969 | 0.6903 |
| 0.5334 | 4.0 | 136 | 0.6584 | 0.1041 | 0.6922 |
| 0.4908 | 5.0 | 170 | 0.6714 | 0.1031 | 0.6548 |
| 0.443 | 6.0 | 204 | 0.7122 | 0.1628 | 0.6711 |
| 0.3959 | 7.0 | 238 | 0.7231 | 0.0982 | 0.6414 |
| 0.3562 | 8.0 | 272 | 0.8126 | 0.1295 | 0.6539 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.2.1+cu118
- Datasets 3.1.0
- Tokenizers 0.20.3
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Model tree for gokulsrinivasagan/tinybert_train_book_ent_15p_inv_cola
Base model
distilbert/distilbert-base-uncasedDataset used to train gokulsrinivasagan/tinybert_train_book_ent_15p_inv_cola
Evaluation results
- Matthews Correlation on GLUE COLAself-reported0.097
- Accuracy on GLUE COLAself-reported0.690