FineTune_Llama-2-7b-hf_QA
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0193
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: 2.5e-05
- train_batch_size: 20
- eval_batch_size: 20
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 80
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.1623 | 0.17 | 100 | 1.0734 |
| 1.0691 | 0.33 | 200 | 1.0483 |
| 1.0333 | 0.5 | 300 | 1.0348 |
| 1.0374 | 0.67 | 400 | 1.0265 |
| 1.0246 | 0.83 | 500 | 1.0214 |
| 1.0243 | 1.0 | 600 | 1.0193 |
Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
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Model tree for TachyHealth/Thealth-Llama-2-7b_QA
Base model
meta-llama/Llama-2-7b-hf