Bert_Stacked_model_60
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: 1.1161
- F1: 0.5697
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 |
|---|---|---|---|---|
| 1.177 | 1.0 | 946 | 1.1209 | 0.5579 |
| 1.1217 | 2.0 | 1892 | 1.1077 | 0.5630 |
| 1.08 | 3.0 | 2838 | 1.1049 | 0.5681 |
| 1.0495 | 4.0 | 3784 | 1.1135 | 0.5669 |
| 1.035 | 5.0 | 4730 | 1.1161 | 0.5697 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1