---
library_name: peft
license: mit
base_model: deepseek-ai/Deepseek-R1-Distill-Qwen-32B
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
datasets:
- tttx/r1-trajectories-arcagi-barc
- tttx/r1-masked-arcagi-v1
- tttx/r1-barc-r1-feb-6
- tttx/r1-masked-feb-6-p2
- tttx/r1-masked-feb-6-p1
- tttx/r1-trajectories-collection-round-2
model-index:
- name: 15k_sft_020525
  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. -->

# 15k_sft_020525

This model is a fine-tuned version of [deepseek-ai/Deepseek-R1-Distill-Qwen-32B](https://huggingface.co/deepseek-ai/Deepseek-R1-Distill-Qwen-32B) on the tttx/r1-trajectories-arcagi-barc, the tttx/r1-masked-arcagi-v1, the tttx/r1-barc-r1-feb-6, the tttx/r1-masked-feb-6-p2, the tttx/r1-masked-feb-6-p1 and the tttx/r1-trajectories-collection-round-2 datasets.
It achieves the following results on the evaluation set:
- Loss: 0.4883

## 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: 2e-05
- train_batch_size: 4
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 32
- 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

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.4154        | 1.0   | 526  | 0.4942          |
| 0.4029        | 2.0   | 1052 | 0.4883          |


### Framework versions

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