bert_base_lda_50_v1_cola
This model is a fine-tuned version of gokulsrinivasagan/bert_base_lda_50_v1 on the GLUE COLA dataset. It achieves the following results on the evaluation set:
- Loss: 0.6144
- Matthews Correlation: 0.0
- Accuracy: 0.6913
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 |
|---|---|---|---|---|---|
| 0.6197 | 1.0 | 34 | 0.6198 | 0.0 | 0.6913 |
| 0.6125 | 2.0 | 68 | 0.6179 | 0.0 | 0.6913 |
| 0.6104 | 3.0 | 102 | 0.6171 | 0.0 | 0.6913 |
| 0.6101 | 4.0 | 136 | 0.6144 | 0.0 | 0.6913 |
| 0.5982 | 5.0 | 170 | 0.6144 | 0.0 | 0.6913 |
| 0.5682 | 6.0 | 204 | 0.6281 | 0.0526 | 0.6874 |
| 0.5152 | 7.0 | 238 | 0.6455 | 0.1003 | 0.6568 |
| 0.4552 | 8.0 | 272 | 0.6827 | 0.0970 | 0.6635 |
| 0.4108 | 9.0 | 306 | 0.6751 | 0.1011 | 0.6529 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.2.1+cu118
- Datasets 2.17.0
- Tokenizers 0.20.3
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Model tree for gokulsrinivasagan/bert_base_lda_50_v1_cola
Base model
gokulsrinivasagan/bert_base_lda_50_v1Dataset used to train gokulsrinivasagan/bert_base_lda_50_v1_cola
Evaluation results
- Matthews Correlation on GLUE COLAself-reported0.000
- Accuracy on GLUE COLAself-reported0.691