---
library_name: peft
license: llama2
base_model: meta-llama/Llama-2-7b-chat-hf
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: llama-2-7b-chat-hf-gsm8k-bs32-sharegpt
  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. -->

# llama-2-7b-chat-hf-gsm8k-bs32-sharegpt

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 an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7306

## 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: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 32
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 5

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.8458        | 0.4274 | 100  | 0.8449          |
| 0.8417        | 0.8547 | 200  | 0.7988          |
| 0.8234        | 1.2821 | 300  | 0.7797          |
| 0.7774        | 1.7094 | 400  | 0.7670          |
| 0.72          | 2.1368 | 500  | 0.7575          |
| 0.7188        | 2.5641 | 600  | 0.7498          |
| 0.8102        | 2.9915 | 700  | 0.7438          |
| 0.7295        | 3.4188 | 800  | 0.7392          |
| 0.7591        | 3.8462 | 900  | 0.7351          |
| 0.7615        | 4.2735 | 1000 | 0.7323          |
| 0.7084        | 4.7009 | 1100 | 0.7306          |


### Framework versions

- PEFT 0.13.2
- Transformers 4.45.2
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3