---
base_model: meta-llama/Llama-2-7b-hf
library_name: peft
license: llama2
tags:
- generated_from_trainer
model-index:
- name: outputs
  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. -->

# outputs

This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3676

## 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: 1
- eval_batch_size: 8
- 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: linear
- lr_scheduler_warmup_steps: 2
- training_steps: 100
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 3.2385        | 0.0134 | 10   | 2.4588          |
| 1.9987        | 0.0267 | 20   | 1.7020          |
| 1.3144        | 0.0401 | 30   | 1.5073          |
| 1.1871        | 0.0535 | 40   | 1.4545          |
| 1.1943        | 0.0668 | 50   | 1.4239          |
| 1.2441        | 0.0802 | 60   | 1.4004          |
| 1.3645        | 0.0936 | 70   | 1.3822          |
| 1.2           | 0.1069 | 80   | 1.3748          |
| 1.1308        | 0.1203 | 90   | 1.3696          |
| 1.1587        | 0.1336 | 100  | 1.3676          |


### Framework versions

- PEFT 0.12.1.dev0
- Transformers 4.45.0.dev0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1