---
library_name: peft
license: apache-2.0
base_model: openlm-research/open_llama_7b
tags:
- generated_from_trainer
model-index:
- name: lora_num4
  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. -->

# lora_num4

This model is a fine-tuned version of [openlm-research/open_llama_7b](https://huggingface.co/openlm-research/open_llama_7b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 8.6688

## 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: 2.5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 6

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 10.5783       | 1.0   | 37   | 9.3113          |
| 9.6658        | 2.0   | 74   | 8.7152          |
| 9.2757        | 3.0   | 111  | 8.5206          |
| 9.1503        | 4.0   | 148  | 8.5015          |
| 9.2431        | 5.0   | 185  | 8.6005          |
| 9.3486        | 6.0   | 222  | 8.6688          |


### Framework versions

- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.1
- Tokenizers 0.21.1