metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: EquityVsDebtIssue
results: []
EquityVsDebtIssue
This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7184
- Accuracy: 0.7210
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6182 | 1.0 | 586 | 0.5384 | 0.6997 |
| 0.4979 | 2.0 | 1172 | 0.5136 | 0.7210 |
| 0.3815 | 3.0 | 1758 | 0.6158 | 0.7218 |
| 0.3048 | 4.0 | 2344 | 0.7184 | 0.7210 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.0
- Datasets 2.6.1
- Tokenizers 0.11.0