metadata
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: twiiter_try15_fold4
results: []
twiiter_try15_fold4
This model is a fine-tuned version of ProsusAI/finbert on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1791
- 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 |
|---|---|---|---|---|
| 0.2113 | 1.0 | 500 | 0.1149 | 0.9642 |
| 0.0638 | 2.0 | 1000 | 0.1456 | 0.9646 |
| 0.0179 | 3.0 | 1500 | 0.1507 | 0.9737 |
| 0.0171 | 4.0 | 2000 | 0.1835 | 0.9737 |
| 0.0096 | 5.0 | 2500 | 0.2713 | 0.9613 |
| 0.0072 | 6.0 | 3000 | 0.2221 | 0.9695 |
| 0.0073 | 7.0 | 3500 | 0.1639 | 0.9775 |
| 0.0049 | 8.0 | 4000 | 0.2184 | 0.9737 |
| 0.0018 | 9.0 | 4500 | 0.2568 | 0.9723 |
| 0.0062 | 10.0 | 5000 | 0.2106 | 0.9753 |
| 0.0001 | 11.0 | 5500 | 0.2204 | 0.9763 |
| 0.0 | 12.0 | 6000 | 0.2195 | 0.9761 |
| 0.0015 | 13.0 | 6500 | 0.1732 | 0.9795 |
| 0.0 | 14.0 | 7000 | 0.1739 | 0.9810 |
| 0.0011 | 15.0 | 7500 | 0.1791 | 0.9805 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3