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: 0.4658
Rewards/chosen: -4.1134
Rewards/rejected: -5.8777
Rewards/accuracies: 0.7292
Rewards/margins: 1.7644
Logps/rejected: -479.6258
Logps/chosen: -445.9359
Logits/rejected: 85.7594
Logits/chosen: 91.4868

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
0.1497	1.8957	100	0.4608	-4.1286	-5.8457	0.7292	1.7171	-478.9854	-446.2400	85.7808	91.4893

Framework versions

Transformers 4.41.0.dev0
Pytorch 2.1.2+cu121
Datasets 2.19.1
Tokenizers 0.19.1

fedyanin/zephyr-7b-gemma-dpo

zephyr-7b-gemma-dpo

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

fedyanin/
zephyr-7b-gemma-dpo