WeniGPT-Agents-Zephyr-1.0.23-KTO

This model is a fine-tuned version of HuggingFaceH4/zephyr-7b-beta on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.5
• Rewards/chosen: -253.6596
• Rewards/rejected: -211.2579
• Rewards/margins: -42.4016
• Kl: 0.0
• Logps/chosen: -2820.3469
• Logps/rejected: -2352.2148

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: 0.0002
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.03
• training_steps: 147
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rewards/chosen	Rewards/rejected	Rewards/margins	Kl	Logps/chosen	Logps/rejected
0.6222	0.32	50	0.5	-253.6881	-211.3268	-42.3612	0.0	-2820.6318	-2352.9041
0.6529	0.65	100	0.5	-253.6596	-211.2579	-42.4016	0.0	-2820.3469	-2352.2148

Framework versions

• PEFT 0.10.0
• Transformers 4.38.2
• Pytorch 2.1.0+cu118
• Datasets 2.18.0
• Tokenizers 0.15.2