This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-Chat-v1.0 on the HuggingFaceH4/hh-rlhf-h4 dataset.
It achieves the following results on the evaluation set:
Loss: 0.6732
Rewards/chosen: -0.5129
Rewards/rejected: -0.5655
Rewards/accuracies: 0.5578
Rewards/margins: 0.0526
Logps/rejected: -214.5289
Logps/chosen: -211.9843
Logits/rejected: -2.4006
Logits/chosen: -2.4020
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: 16
eval_batch_size: 16
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 8
total_train_batch_size: 512
total_eval_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
