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add_BERT_24_cola
This model is a fine-tuned version of gokuls/add_bert_12_layer_model_complete_training_new on the GLUE COLA dataset. It achieves the following results on the evaluation set:
- Loss: 0.6181
- 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: 4e-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 | Accuracy |
|---|---|---|---|---|---|
| 0.6232 | 1.0 | 67 | 0.6214 | 0.0 | 0.6913 |
| 0.6217 | 2.0 | 134 | 0.6501 | 0.0 | 0.6913 |
| 0.6147 | 3.0 | 201 | 0.6209 | 0.0 | 0.6913 |
| 0.6131 | 4.0 | 268 | 0.6193 | 0.0 | 0.6913 |
| 0.6115 | 5.0 | 335 | 0.6181 | 0.0 | 0.6913 |
| 0.6109 | 6.0 | 402 | 0.6203 | 0.0 | 0.6913 |
| 0.6113 | 7.0 | 469 | 0.6237 | 0.0 | 0.6913 |
| 0.6124 | 8.0 | 536 | 0.6181 | 0.0 | 0.6913 |
| 0.6094 | 9.0 | 603 | 0.6277 | 0.0 | 0.6913 |
| 0.6362 | 10.0 | 670 | 0.6505 | 0.0 | 0.6913 |
| 0.6097 | 11.0 | 737 | 0.6186 | 0.0 | 0.6913 |
| 0.6113 | 12.0 | 804 | 0.6200 | 0.0 | 0.6913 |
| 0.6086 | 13.0 | 871 | 0.6294 | 0.0 | 0.6913 |
Framework versions
- Transformers 4.30.2
- Pytorch 1.14.0a0+410ce96
- Datasets 2.13.0
- Tokenizers 0.13.3
