---
base_model: NousResearch/Llama-2-7b-chat-hf
tags:
- generated_from_trainer
model-index:
- name: Llama-2-7b-chat-hf-formula-peft
  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-formula-peft

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: 2.1452

## 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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- 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: 0.03
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 4.1878        | 1.43  | 10   | 3.6596          |
| 2.8437        | 2.86  | 20   | 2.6466          |
| 1.8635        | 4.29  | 30   | 2.2266          |
| 1.4052        | 5.71  | 40   | 2.1136          |
| 1.2186        | 7.14  | 50   | 2.0805          |
| 0.8835        | 8.57  | 60   | 2.0733          |
| 0.6991        | 10.0  | 70   | 2.0809          |
| 0.5608        | 11.43 | 80   | 2.0862          |
| 0.4188        | 12.86 | 90   | 2.1078          |
| 0.3897        | 14.29 | 100  | 2.1089          |
| 0.2748        | 15.71 | 110  | 2.1333          |
| 0.2582        | 17.14 | 120  | 2.1383          |
| 0.2394        | 18.57 | 130  | 2.1440          |
| 0.2392        | 20.0  | 140  | 2.1452          |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1