twiiter_try14_fold1
This model is a fine-tuned version of ProsusAI/finbert on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2012
- F1: 0.9785
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: 6e-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 |
|---|---|---|---|---|
| 0.2079 | 1.0 | 500 | 0.1033 | 0.9684 |
| 0.0718 | 2.0 | 1000 | 0.2648 | 0.9503 |
| 0.036 | 3.0 | 1500 | 0.1545 | 0.9709 |
| 0.0228 | 4.0 | 2000 | 0.1603 | 0.9741 |
| 0.0092 | 5.0 | 2500 | 0.2108 | 0.9674 |
| 0.0089 | 6.0 | 3000 | 0.1471 | 0.9775 |
| 0.0056 | 7.0 | 3500 | 0.1388 | 0.9789 |
| 0.0059 | 8.0 | 4000 | 0.1555 | 0.9805 |
| 0.0046 | 9.0 | 4500 | 0.1683 | 0.9783 |
| 0.0 | 10.0 | 5000 | 0.1767 | 0.9809 |
| 0.0022 | 11.0 | 5500 | 0.1801 | 0.9785 |
| 0.0 | 12.0 | 6000 | 0.1942 | 0.9785 |
| 0.0 | 13.0 | 6500 | 0.1912 | 0.9799 |
| 0.0 | 14.0 | 7000 | 0.1921 | 0.9799 |
| 0.0005 | 15.0 | 7500 | 0.2012 | 0.9785 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3