This model is a fine-tuned version of Minbyul/meditron-7b-wo-healthsearch_qa-sft on the HuggingFaceH4/ultrafeedback_binarized dataset.
It achieves the following results on the evaluation set:
Loss: 0.6911
Rewards/chosen: 0.0010
Rewards/rejected: -0.0039
Rewards/accuracies: 0.6566
Rewards/margins: 0.0049
Logps/rejected: -893.7659
Logps/chosen: -564.5244
Logits/rejected: -0.7763
Logits/chosen: -0.8804
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-07
train_batch_size: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 2
total_train_batch_size: 64
total_eval_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
