llama2_instruct_generation
This model is a fine-tuned version of NousResearch/Llama-2-7b-hf on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 1.6717
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 20
- training_steps: 500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.9453 | 0.0 | 20 | 1.8075 |
| 1.8785 | 0.01 | 40 | 1.7784 |
| 1.8857 | 0.01 | 60 | 1.7662 |
| 1.8799 | 0.01 | 80 | 1.7530 |
| 1.9231 | 0.01 | 100 | 1.7425 |
| 1.813 | 0.02 | 120 | 1.7142 |
| 1.8755 | 0.02 | 140 | 1.7035 |
| 1.8051 | 0.02 | 160 | 1.6975 |
| 1.7347 | 0.02 | 180 | 1.6927 |
| 1.7275 | 0.03 | 200 | 1.6907 |
| 1.8213 | 0.03 | 220 | 1.6882 |
| 1.7671 | 0.03 | 240 | 1.6851 |
| 1.7736 | 0.04 | 260 | 1.6839 |
| 1.8085 | 0.04 | 280 | 1.6826 |
| 1.74 | 0.04 | 300 | 1.6803 |
| 1.7354 | 0.04 | 320 | 1.6789 |
| 1.7736 | 0.05 | 340 | 1.6808 |
| 1.8226 | 0.05 | 360 | 1.6786 |
| 1.7954 | 0.05 | 380 | 1.6761 |
| 1.7472 | 0.05 | 400 | 1.6746 |
| 1.6613 | 0.06 | 420 | 1.6736 |
| 1.7523 | 0.06 | 440 | 1.6721 |
| 1.7296 | 0.06 | 460 | 1.6717 |
| 1.8324 | 0.07 | 480 | 1.6729 |
| 1.7083 | 0.07 | 500 | 1.6717 |
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 lillybak/llama2_instruct_generation
Base model
NousResearch/Llama-2-7b-hf