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: 0.6200
Eval/rewards/chosen: 0.1376
Eval/logps/chosen: -196.7612
Eval/rewards/rejected: 0.1472
Eval/logps/rejected: -209.5413
Eval/rewards/margins: -0.0096
Eval/kl: 1.2612
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: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
