This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-full on the None dataset.
It achieves the following results on the evaluation set:
Loss: 0.1492
Rewards/chosen: -1.5452
Rewards/rejected: -7.2115
Rewards/accuracies: 0.8359
Rewards/margins: 5.6663
Logps/rejected: -171.0846
Logps/chosen: -143.6666
Logits/rejected: -2.3237
Logits/chosen: -2.3692
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
total_train_batch_size: 32
total_eval_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
