---
library_name: peft
license: apache-2.0
base_model: Jukess/curriculum_fine_tuned
tags:
- generated_from_trainer
model-index:
- name: lora_wo_dlora_rslora_1_epoch
  results: []
---

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# lora_wo_dlora_rslora_1_epoch

This model is a fine-tuned version of [Jukess/curriculum_fine_tuned](https://huggingface.co/Jukess/curriculum_fine_tuned) on the None dataset.

## 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: 0.0005
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- 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: 1

### Framework versions

- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.7.0+cu126
- Datasets 3.6.0
- Tokenizers 0.21.0