---
license: other
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: IlyaGusev/saiga_llama3_8b
model-index:
- name: qdora
  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. -->

# qdora

This model is a fine-tuned version of [IlyaGusev/saiga_llama3_8b](https://huggingface.co/IlyaGusev/saiga_llama3_8b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5287

## 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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.794         | 0.1389 | 25   | 1.6986          |
| 1.6478        | 0.2778 | 50   | 1.6411          |
| 1.5549        | 0.4167 | 75   | 1.5937          |
| 1.4962        | 0.5556 | 100  | 1.5652          |
| 1.4841        | 0.6944 | 125  | 1.5430          |
| 1.563         | 0.8333 | 150  | 1.5320          |
| 1.51          | 0.9722 | 175  | 1.5287          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1