llama-fintech-2
This model is a fine-tuned version of decapoda-research/llama-7b-hf on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1633
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: 2e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 1234
- gradient_accumulation_steps: 32
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.4519 | 0.15 | 50 | 2.4590 |
| 2.2828 | 0.3 | 100 | 2.1885 |
| 1.9412 | 0.45 | 150 | 1.5739 |
| 1.6658 | 0.6 | 200 | 1.3218 |
| 1.6407 | 0.76 | 250 | 1.2165 |
| 1.6254 | 0.91 | 300 | 1.1633 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1
- Datasets 2.14.4
- Tokenizers 0.13.3