This model is a fine-tuned version of Qwen/Qwen2.5-1.5B-Instruct on the open-thoughts/OpenThoughts3-1.2M dataset (which is created using QwQ 32B with 16k output length).
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: 0.00015
weight_decay: 0.0
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 256
total_train_batch_size: 256
total_eval_batch_size: 2048
optimizer: Use adamw_torch_fused with betas=(0.9,0.99) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
