bert-finetuned-chatGPT
This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3771
- Accuracy: 0.9001
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: 3.7988668524141836e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 3
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4095 | 1.0 | 2250 | 0.3938 | 0.8669 |
| 0.2796 | 2.0 | 4500 | 0.3359 | 0.8888 |
| 0.1891 | 3.0 | 6750 | 0.3771 | 0.9001 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Tokenizers 0.19.1
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Model tree for iaminhridoy/bert-finetuned-chatGPT-discourse
Base model
google-bert/bert-base-uncased