Bert_Stacked_model_80
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: 1.0984
- F1: 0.5880
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 |
|---|---|---|---|---|
| 1.0939 | 1.0 | 1261 | 1.0827 | 0.5781 |
| 1.0411 | 2.0 | 2522 | 1.0910 | 0.5832 |
| 1.0035 | 3.0 | 3783 | 1.0790 | 0.5798 |
| 0.9722 | 4.0 | 5044 | 1.0925 | 0.5914 |
| 0.9523 | 5.0 | 6305 | 1.0984 | 0.5880 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1