zephyr-7b-gemma-kto-2

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: 0.2953
• Rewards/chosen: 1.5010
• Rewards/rejected: -0.1766
• Rewards/accuracies: 0.6875
• Rewards/margins: 1.6776
• Logps/rejected: -365.6023
• Logps/chosen: -333.6483
• Logits/rejected: 108.5893
• Logits/chosen: 113.8158

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
0.1946	1.8957	100	0.2942	1.5244	-0.1579	0.6458	1.6823	-365.2298	-333.1805	108.6414	113.8343

Framework versions

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