bert_base_train_book_ent_15p_s_init_cola
This model is a fine-tuned version of gokulsrinivasagan/bert_base_train_book_ent_15p_s_init on the GLUE COLA dataset. It achieves the following results on the evaluation set:
- Loss: 0.6185
- 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 |
---|---|---|---|---|---|
0.6207 | 1.0 | 34 | 0.6185 | 0.0 | 0.6913 |
0.6093 | 2.0 | 68 | 0.6192 | 0.0 | 0.6913 |
0.61 | 3.0 | 102 | 0.6199 | 0.0 | 0.6913 |
0.6103 | 4.0 | 136 | 0.6185 | 0.0 | 0.6913 |
0.6113 | 5.0 | 170 | 0.6185 | 0.0 | 0.6913 |
0.6094 | 6.0 | 204 | 0.6199 | 0.0 | 0.6913 |
0.6098 | 7.0 | 238 | 0.6215 | 0.0 | 0.6913 |
0.6113 | 8.0 | 272 | 0.6248 | 0.0 | 0.6913 |
0.6098 | 9.0 | 306 | 0.6286 | 0.0 | 0.6913 |
0.6106 | 10.0 | 340 | 0.6254 | 0.0 | 0.6913 |
Framework versions
- Transformers 4.51.2
- Pytorch 2.6.0+cu126
- Datasets 3.5.0
- Tokenizers 0.21.1
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Model tree for gokulsrinivasagan/bert_base_train_book_ent_15p_s_init_cola
Base model
google-bert/bert-base-uncasedDataset used to train gokulsrinivasagan/bert_base_train_book_ent_15p_s_init_cola
Evaluation results
- Matthews Correlation on GLUE COLAself-reported0.000
- Accuracy on GLUE COLAself-reported0.691