financial-twhin-bert-large-3labels-pesudo-bb-only
This model is a fine-tuned version of Twitter/twhin-bert-large on finance-related tweets. It achieves the following results on the evaluation set:
- Loss: 0.4379
- Accuracy: 0.8847
- F1: 0.8857
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: 3.812006227593217e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.5859 | 1.0 | 2283 | 1.5711 | 0.2039 | 0.0800 |
| 0.1601 | 2.0 | 4566 | 0.4379 | 0.8847 | 0.8857 |
| 0.0875 | 3.0 | 6849 | 0.5111 | 0.8854 | 0.8868 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
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Base model
Twitter/twhin-bert-large