This model is a fine-tuned version of /root/autodl-tmp/models/Qwen2.5-7B on the policy_autorag_dis_train_p0 dataset.
It achieves the following results on the evaluation set:
Loss: 1.1042
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: 0.0002
train_batch_size: 2
eval_batch_size: 2
seed: 42
distributed_type: multi-GPU
num_devices: 3
gradient_accumulation_steps: 16
total_train_batch_size: 96
total_eval_batch_size: 6
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
