This model is a fine-tuned version of checkpoints/Mistral-7B-Instruct-EI-Iter2 on the synthetic_data_mistral-7b-instruct-expert-iteration-iter3_score dataset.
It achieves the following results on the evaluation set:
Loss: 0.4722
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: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 64
total_eval_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
