qa_model_finance_domain_fiqa_v6
This model is a fine-tuned version of distilroberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.9560
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: 0.0002
- 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.7088 | 1.0 | 1048 | 3.5487 |
| 3.327 | 2.0 | 2096 | 3.4257 |
| 3.0211 | 3.0 | 3144 | 3.5815 |
| 2.8684 | 4.0 | 4192 | 3.6927 |
| 2.6677 | 5.0 | 5240 | 3.9560 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3