---
library_name: peft
license: other
base_model: MagistrTheOne/KNK-VF-Lab-38B
tags:
- base_model:adapter:/workspace/checkpoints/knk_vf_lab_38b
- llama-factory
- lora
- transformers
pipeline_tag: text-generation
model-index:
- name: kurotama-knk-vf-lab38b-lora
  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. -->

# kurotama-knk-vf-lab38b-lora

This model is a fine-tuned version of [/workspace/checkpoints/knk_vf_lab_38b](https://huggingface.co//workspace/checkpoints/knk_vf_lab_38b) on the kurotama_sharegpt dataset.
It achieves the following results on the evaluation set:
- Loss: 8.5199

## 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: 0.0001
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- 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: cosine
- lr_scheduler_warmup_steps: 0.05
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 143.7241      | 1.0   | 29   | 8.5199          |


### Framework versions

- PEFT 0.18.1
- Transformers 5.6.0
- Pytorch 2.4.1+cu124
- Datasets 4.0.0
- Tokenizers 0.22.2