---
library_name: peft
license: llama2
base_model: meta-llama/Llama-2-7b-hf
tags:
- generated_from_trainer
model-index:
- name: Llama2-7B-lora-r-32-generic-epoch-5-labels_40.0
  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. -->

# Llama2-7B-lora-r-32-generic-epoch-5-labels_40.0

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: 3.9360

## 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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- training_steps: 150
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 5.1569        | 0.0457 | 20   | 5.3968          |
| 5.3987        | 0.0914 | 40   | 5.2553          |
| 5.133         | 0.1371 | 60   | 5.0065          |
| 4.6634        | 0.1829 | 80   | 4.6042          |
| 4.3315        | 0.2286 | 100  | 4.2429          |
| 4.0887        | 0.2743 | 120  | 4.0269          |
| 3.9483        | 0.32   | 140  | 3.9360          |


### Framework versions

- PEFT 0.15.2
- Transformers 4.45.2
- Pytorch 2.5.0+cu121
- Datasets 3.2.0
- Tokenizers 0.20.3