---
library_name: peft
base_model: deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
datasets:
- tttx/ttt-problem-10-continue-step2-master
model-index:
- name: manual-ttt-problem10-32b-021025-2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# manual-ttt-problem10-32b-021025-2

This model is a fine-tuned version of [tttx/models-ttt-problem-10-continue-step1](https://huggingface.co/tttx/models-ttt-problem-10-continue-step1) on the tttx/ttt-problem-10-continue-step2-master 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: 5e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 8
- total_eval_batch_size: 8
- optimizer: Use 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_ratio: 0.1
- num_epochs: 2

### Training results



### Framework versions

- PEFT 0.13.2
- Transformers 4.47.0.dev0
- Pytorch 2.4.0+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3