This model is a fine-tuned version of mistralai/Mistral-Nemo-Instruct-2407 on the bct_non_cot_dpo_1000 dataset.
It achieves the following results on the evaluation set:
Loss: 0.1609
Rewards/chosen: -0.0115
Rewards/rejected: -0.0450
Rewards/accuracies: 0.7900
Rewards/margins: 0.0335
Logps/rejected: -0.4501
Logps/chosen: -0.1152
Logits/rejected: -2.2660
Logits/chosen: -2.2422
Sft Loss: 0.0143
Odds Ratio Loss: 1.4658
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-06
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
