Randomized_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: 1.1261
- F1: 0.5641
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 |
|---|---|---|---|---|
| 1.1876 | 1.0 | 946 | 1.1274 | 0.5479 |
| 1.1312 | 2.0 | 1892 | 1.1192 | 0.5569 |
| 1.1021 | 3.0 | 2838 | 1.1192 | 0.5554 |
| 1.0729 | 4.0 | 3784 | 1.1221 | 0.5591 |
| 1.0558 | 5.0 | 4730 | 1.1261 | 0.5641 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.0.2
- Tokenizers 0.19.1
- Downloads last month
- 2
Inference API (serverless) does not yet support transformers models for this pipeline type.
Model tree for Ariffiq99/Randomized_Bert_Stacked_model_60
Base model
google-bert/bert-base-uncased