This model is a fine-tuned version of lewtun/gemma-7b-sft-full-deita-10k-v0 on the argilla/dpo-mix-7k dataset.
It achieves the following results on the evaluation set:
Loss: 0.6160
Rewards/chosen: -1.9864
Rewards/rejected: -3.4684
Rewards/accuracies: 0.7083
Rewards/margins: 1.4821
Logps/rejected: -486.2339
Logps/chosen: -473.2680
Logits/rejected: 99.1940
Logits/chosen: 105.4826
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: 8
total_train_batch_size: 128
total_eval_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
