Randomized_Bert_Stacked_model_40
This model is a fine-tuned version of google-bert/bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1549
- F1: 0.5395
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: 1e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 1.2617 | 1.0 | 631 | 1.1909 | 0.5071 |
| 1.2223 | 2.0 | 1262 | 1.1752 | 0.5191 |
| 1.1924 | 3.0 | 1893 | 1.1591 | 0.5334 |
| 1.1486 | 4.0 | 2524 | 1.1545 | 0.5356 |
| 1.1287 | 5.0 | 3155 | 1.1549 | 0.5395 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.0.2
- Tokenizers 0.19.1