This model is a fine-tuned version of deepseek-ai/deepseek-math-7b-base on the zfz1/my_preference_gsm8k_deepseek dataset.
It achieves the following results on the evaluation set:
Loss: 0.0797
Rewards/chosen: -0.0089
Rewards/rejected: -0.2196
Rewards/accuracies: 1.0
Rewards/margins: 0.2107
Logps/rejected: -2.1960
Logps/chosen: -0.0885
Logits/rejected: 13.8906
Logits/chosen: 8.5947
Nll Loss: 0.0786
Log Odds Ratio: -0.0204
Log Odds Chosen: 5.3533
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: 4
seed: 43
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 2
total_train_batch_size: 32
total_eval_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
