siddharth2050/LMR_finetuned_bert_model_CM
This model is a fine-tuned version of google-bert/bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 1.4118
- Validation Loss: 1.3949
- Epoch: 2
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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 1.5172 | 1.4620 | 0 |
| 1.4588 | 1.4253 | 1 |
| 1.4118 | 1.3949 | 2 |
Framework versions
- Transformers 4.45.1
- TensorFlow 2.16.1
- Datasets 3.0.0
- Tokenizers 0.20.0