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test_trainer
This model is a fine-tuned version of FinanceInc/finbert-pretrain on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 9.5916
- Accuracy: 0.0001
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: 5e-05
- train_batch_size: 40
- eval_batch_size: 40
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 9.6334 | 1.0 | 2975 | 9.6220 | 0.0001 |
| 9.6098 | 2.0 | 5950 | 9.6034 | 0.0001 |
| 9.6041 | 3.0 | 8925 | 9.5916 | 0.0001 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.0
- Tokenizers 0.13.2
