This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the None dataset.
It achieves the following results on the evaluation set:
Loss: 1.2449
Eval/rewards/chosen: -0.1725
Eval/logps/chosen: -212.3262
Eval/rewards/rejected: -0.2031
Eval/logps/rejected: -235.8965
Eval/rewards/margins: 0.0307
Eval/kl: 0.0010
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: 1e-05
train_batch_size: 1
eval_batch_size: 2
seed: 9012
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
