zephyr-7b-gemma-hinge

This model is a fine-tuned version of HuggingFaceH4/zephyr-7b-gemma-sft-v0.1 on the argilla/dpo-mix-7k dataset. It achieves the following results on the evaluation set:

• Loss: 0.5273
• Rewards/chosen: -2.6335
• Rewards/rejected: -3.8935
• Rewards/accuracies: 0.7292
• Rewards/margins: 1.2600
• Logps/rejected: -439.9419
• Logps/chosen: -416.3391
• Logits/rejected: 96.0524
• Logits/chosen: 101.8806

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
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Rewards/chosen	Rewards/rejected	Rewards/accuracies	Rewards/margins	Logps/rejected	Logps/chosen	Logits/rejected	Logits/chosen
0.1516	1.8957	100	0.5250	-2.6386	-3.9001	0.7188	1.2616	-440.0739	-416.4398	95.9739	101.8169

Framework versions

• Transformers 4.40.1
• Pytorch 2.1.2+cu121
• Datasets 2.19.0
• Tokenizers 0.19.1