This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the princeton-nlp/mistral-instruct-ultrafeedback dataset.
It achieves the following results on the evaluation set:
Loss: 0.7976
Rewards/chosen: -1.2291
Rewards/rejected: -1.3244
Rewards/accuracies: 0.5507
Rewards/margins: 0.0955
Agreement Weights/mean: 0.9696
Agreement Weights/std: 0.0182
Eta/annotator 0: 0.9730
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: 2
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 16
total_train_batch_size: 256
total_eval_batch_size: 32
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
