---
base_model: meta-llama/Llama-2-7b-hf
library_name: peft
license: llama2
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: SFT_FineTuned_LLAMA2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# SFT_FineTuned_LLAMA2

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 MatanP/stories-with_custom_prompts dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5881

## 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: 1e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 6

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.9368        | 1.0   | 103  | 1.6480          |
| 1.5178        | 2.0   | 206  | 1.6177          |
| 1.6781        | 3.0   | 309  | 1.5987          |
| 1.4845        | 4.0   | 412  | 1.5906          |
| 1.6539        | 5.0   | 515  | 1.5885          |
| 1.2499        | 6.0   | 618  | 1.5881          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.4.1+cu124
- Datasets 3.0.0
- Tokenizers 0.19.1