---
library_name: peft
tags:
- generated_from_trainer
base_model: meta-llama/Llama-2-7b-hf
model-index:
- name: FineTune_Llama-2-7b-hf_QA
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# FineTune_Llama-2-7b-hf_QA

This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/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