This model is a fine-tuned version of deepseek-ai/Deepseek-R1-Distill-Qwen-32B on the tttx/r1-trajectories-collection-round-2 and the tttx/r1-trajectories-arcagi-barc datasets.
It achieves the following results on the evaluation set:
Loss: 0.4387
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: 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
