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---
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
base_model: NousResearch/Llama-2-7b-hf
model-index:
- name: llama2_instruct_generation
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# llama2_instruct_generation
This model is a fine-tuned version of [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResearch/Llama-2-7b-hf) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6705
## 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: 0.03
- training_steps: 500
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.9724 | 0.0 | 20 | 1.8100 |
| 1.8173 | 0.01 | 40 | 1.7801 |
| 1.8184 | 0.01 | 60 | 1.7671 |
| 1.8725 | 0.01 | 80 | 1.7568 |
| 1.8967 | 0.01 | 100 | 1.7460 |
| 1.8943 | 0.02 | 120 | 1.7172 |
| 1.788 | 0.02 | 140 | 1.7045 |
| 1.8953 | 0.02 | 160 | 1.6986 |
| 1.8262 | 0.02 | 180 | 1.6943 |
| 1.8472 | 0.03 | 200 | 1.6926 |
| 1.8416 | 0.03 | 220 | 1.6896 |
| 1.838 | 0.03 | 240 | 1.6855 |
| 1.7743 | 0.04 | 260 | 1.6806 |
| 1.8562 | 0.04 | 280 | 1.6785 |
| 1.8562 | 0.04 | 300 | 1.6794 |
| 1.8117 | 0.04 | 320 | 1.6783 |
| 1.8193 | 0.05 | 340 | 1.6768 |
| 1.8807 | 0.05 | 360 | 1.6745 |
| 1.7641 | 0.05 | 380 | 1.6738 |
| 1.7738 | 0.05 | 400 | 1.6735 |
| 1.7759 | 0.06 | 420 | 1.6733 |
| 1.7089 | 0.06 | 440 | 1.6721 |
| 1.7984 | 0.06 | 460 | 1.6706 |
| 1.7243 | 0.07 | 480 | 1.6720 |
| 1.9205 | 0.07 | 500 | 1.6705 |
### Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0 |