metadata
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: twiiter_try15_fold3
results: []
twiiter_try15_fold3
This model is a fine-tuned version of ProsusAI/finbert on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1796
- F1: 0.9805
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: 3e-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: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.2022 | 1.0 | 500 | 0.1547 | 0.9636 |
| 0.0612 | 2.0 | 1000 | 0.2014 | 0.9660 |
| 0.0211 | 3.0 | 1500 | 0.1204 | 0.9776 |
| 0.0107 | 4.0 | 2000 | 0.1797 | 0.9745 |
| 0.0073 | 5.0 | 2500 | 0.1931 | 0.9752 |
| 0.0128 | 6.0 | 3000 | 0.1808 | 0.9741 |
| 0.0088 | 7.0 | 3500 | 0.1756 | 0.9750 |
| 0.0088 | 8.0 | 4000 | 0.1726 | 0.9781 |
| 0.0012 | 9.0 | 4500 | 0.1707 | 0.9785 |
| 0.0004 | 10.0 | 5000 | 0.1794 | 0.9780 |
| 0.0031 | 11.0 | 5500 | 0.2156 | 0.9743 |
| 0.0012 | 12.0 | 6000 | 0.2106 | 0.9741 |
| 0.0 | 13.0 | 6500 | 0.1925 | 0.9796 |
| 0.0 | 14.0 | 7000 | 0.1903 | 0.9789 |
| 0.0008 | 15.0 | 7500 | 0.1796 | 0.9805 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3