twiiter_try15_fold2
This model is a fine-tuned version of ProsusAI/finbert on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1872
- F1: 0.9801
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 |
|---|---|---|---|---|
| 0.2295 | 1.0 | 500 | 0.1052 | 0.9689 |
| 0.0621 | 2.0 | 1000 | 0.1340 | 0.9727 |
| 0.0317 | 3.0 | 1500 | 0.1108 | 0.9776 |
| 0.0148 | 4.0 | 2000 | 0.1810 | 0.9738 |
| 0.0066 | 5.0 | 2500 | 0.1783 | 0.9743 |
| 0.0028 | 6.0 | 3000 | 0.1780 | 0.9776 |
| 0.0012 | 7.0 | 3500 | 0.1487 | 0.9826 |
| 0.0059 | 8.0 | 4000 | 0.1443 | 0.9805 |
| 0.0024 | 9.0 | 4500 | 0.1709 | 0.9795 |
| 0.0049 | 10.0 | 5000 | 0.1743 | 0.9781 |
| 0.0003 | 11.0 | 5500 | 0.1898 | 0.9785 |
| 0.0028 | 12.0 | 6000 | 0.2119 | 0.9773 |
| 0.0013 | 13.0 | 6500 | 0.1929 | 0.9786 |
| 0.0 | 14.0 | 7000 | 0.1863 | 0.9801 |
| 0.0 | 15.0 | 7500 | 0.1872 | 0.9801 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
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