zephyr-7b-UC-0-B0.5

This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-full on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.1130
• Rewards/chosen: -3.7732
• Rewards/rejected: -13.4408
• Rewards/accuracies: 0.8644
• Rewards/margins: 9.6676
• Logps/rejected: -173.6967
• Logps/chosen: -189.7024
• Logits/rejected: -2.8645
• Logits/chosen: -2.9068

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: 4
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 4
• total_train_batch_size: 16
• total_eval_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Rewards/chosen	Rewards/rejected	Rewards/accuracies	Rewards/margins	Logps/rejected	Logps/chosen	Logits/rejected	Logits/chosen
0.1262	0.62	500	0.1185	-3.0114	-12.1820	0.8670	9.1707	-171.1792	-188.1787	-2.8565	-2.9004

Framework versions

• Transformers 4.36.1
• Pytorch 2.0.1+cu117
• Datasets 2.16.1
• Tokenizers 0.15.0