15k_sft_020525

This model is a fine-tuned version of 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