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---
base_model: NousResearch/Llama-2-7b-hf
datasets:
- generator
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
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: 1.6759
## 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
- training_steps: 500
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.9468 | 0.0027 | 20 | 1.8141 |
| 1.8734 | 0.0054 | 40 | 1.7849 |
| 1.8769 | 0.0081 | 60 | 1.7718 |
| 1.8633 | 0.0108 | 80 | 1.7599 |
| 1.8583 | 0.0135 | 100 | 1.7472 |
| 1.8264 | 0.0163 | 120 | 1.7176 |
| 1.8714 | 0.0190 | 140 | 1.7053 |
| 1.831 | 0.0217 | 160 | 1.7012 |
| 1.7957 | 0.0244 | 180 | 1.6947 |
| 1.8613 | 0.0271 | 200 | 1.6934 |
| 1.81 | 0.0298 | 220 | 1.6915 |
| 1.7995 | 0.0325 | 240 | 1.6893 |
| 1.9067 | 0.0352 | 260 | 1.6872 |
| 1.8261 | 0.0379 | 280 | 1.6860 |
| 1.8609 | 0.0406 | 300 | 1.6843 |
| 1.7725 | 0.0433 | 320 | 1.6835 |
| 1.8061 | 0.0461 | 340 | 1.6819 |
| 1.8842 | 0.0488 | 360 | 1.6804 |
| 1.7648 | 0.0515 | 380 | 1.6799 |
| 1.8121 | 0.0542 | 400 | 1.6796 |
| 1.8056 | 0.0569 | 420 | 1.6777 |
| 1.7423 | 0.0596 | 440 | 1.6780 |
| 1.8971 | 0.0623 | 460 | 1.6782 |
| 1.8234 | 0.0650 | 480 | 1.6771 |
| 1.8978 | 0.0677 | 500 | 1.6759 |
### Framework versions
- PEFT 0.13.0
- Transformers 4.45.0
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0 |