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Llama-2-7b-chat-hf-formula-peft
This model is a fine-tuned version of NousResearch/Llama-2-7b-chat-hf on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.1452
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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.1878 | 1.43 | 10 | 3.6596 |
| 2.8437 | 2.86 | 20 | 2.6466 |
| 1.8635 | 4.29 | 30 | 2.2266 |
| 1.4052 | 5.71 | 40 | 2.1136 |
| 1.2186 | 7.14 | 50 | 2.0805 |
| 0.8835 | 8.57 | 60 | 2.0733 |
| 0.6991 | 10.0 | 70 | 2.0809 |
| 0.5608 | 11.43 | 80 | 2.0862 |
| 0.4188 | 12.86 | 90 | 2.1078 |
| 0.3897 | 14.29 | 100 | 2.1089 |
| 0.2748 | 15.71 | 110 | 2.1333 |
| 0.2582 | 17.14 | 120 | 2.1383 |
| 0.2394 | 18.57 | 130 | 2.1440 |
| 0.2392 | 20.0 | 140 | 2.1452 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
