zephyr-qwen2-7b-dpo

This model is a fine-tuned version of tanliboy/zephyr-qwen2-7b-sft on the HuggingFaceH4/ultrafeedback_binarized dataset. It achieves the following results on the evaluation set:

• Loss: 0.5492
• Rewards/chosen: -0.3377
• Rewards/rejected: -0.7347
• Rewards/accuracies: 0.7120
• Rewards/margins: 0.3970
• Logps/rejected: -339.1164
• Logps/chosen: -334.2959
• Logits/rejected: 0.0096
• Logits/chosen: 0.1430

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: 2
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• gradient_accumulation_steps: 8
• total_train_batch_size: 128
• total_eval_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• 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
0.6439	0.2094	100	0.6410	-0.0729	-0.1774	0.6280	0.1045	-283.3870	-307.8225	-0.0798	0.0658
0.5947	0.4187	200	0.5743	-0.3018	-0.6030	0.6800	0.3013	-325.9524	-330.7078	-0.0418	0.1044
0.5465	0.6281	300	0.5582	-0.2623	-0.6201	0.7080	0.3578	-327.6540	-326.7564	0.0043	0.1374
0.5513	0.8375	400	0.5497	-0.3456	-0.7435	0.7040	0.3979	-340.0029	-335.0901	0.0097	0.1434

Framework versions

• Transformers 4.40.2
• Pytorch 2.3.0+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1