---
base_model: NousResearch/Llama-2-7b-chat-hf
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: instruction_tuned_model
  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. -->

# instruction_tuned_model

This model is a fine-tuned version of [NousResearch/Llama-2-7b-chat-hf](https://huggingface.co/NousResearch/Llama-2-7b-chat-hf) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3074

## 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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.4333        | 0.2712 | 20   | 0.3822          |
| 0.3086        | 0.5424 | 40   | 0.3394          |
| 0.2944        | 0.8136 | 60   | 0.3268          |
| 0.2803        | 1.0847 | 80   | 0.3200          |
| 0.2688        | 1.3559 | 100  | 0.3165          |
| 0.2675        | 1.6271 | 120  | 0.3125          |
| 0.2627        | 1.8983 | 140  | 0.3095          |
| 0.2529        | 2.1695 | 160  | 0.3089          |
| 0.253         | 2.4407 | 180  | 0.3079          |
| 0.2513        | 2.7119 | 200  | 0.3074          |


### Framework versions

- PEFT 0.13.1
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Tokenizers 0.19.1