---
library_name: peft
license: other
base_model: OpenOneRec/OneReason-0.8B-pretrain-competition
tags:
- base_model:adapter:OpenOneRec/OneReason-0.8B-pretrain-competition
- llama-factory
- lora
- transformers
pipeline_tag: text-generation
model-index:
- name: v74_public091_rslora_loraplus_r128_a16_lr1e5_x16_ep3
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# v74_public091_rslora_loraplus_r128_a16_lr1e5_x16_ep3

This model is a fine-tuned version of [OpenOneRec/OneReason-0.8B-pretrain-competition](https://huggingface.co/OpenOneRec/OneReason-0.8B-pretrain-competition) on the exp_v49_public_091_exact 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: 1e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 202607208
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- 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: 0.03
- num_epochs: 3.0

### Training results



### Framework versions

- PEFT 0.18.1
- Transformers 5.6.0
- Pytorch 2.7.1+cu126
- Datasets 4.0.0
- Tokenizers 0.22.2