---
base_model: meta-llama/Llama-2-7b-chat-hf
library_name: peft
license: llama2
metrics:
- accuracy
tags:
- llama-factory
- lora
- generated_from_trainer
model-index:
- name: llama2_7b_test_4
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# llama2_7b_test_4

This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) on the alpaca_en_demo dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6859
- Accuracy: 0.6973

## 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: 0.0001
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 10

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 2.5627        | 0.0356 | 4    | 1.9985          | 0.6939   |
| 2.2846        | 0.0711 | 8    | 1.6859          | 0.6973   |


### Framework versions

- PEFT 0.11.1
- Transformers 4.42.4
- Pytorch 2.2.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1