This model is a fine-tuned version of Minbyul/biomistral-7b-wo-kqa_silver_wogold-sft on the HuggingFaceH4/ultrafeedback_binarized dataset. It achieves the following results on the evaluation set:

Loss: 0.3493
Rewards/chosen: -0.0378
Rewards/rejected: -1.3358
Rewards/accuracies: 1.0
Rewards/margins: 1.2980
Logps/rejected: -740.3141
Logps/chosen: -69.0360
Logits/rejected: -3.3845
Logits/chosen: -3.7481

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: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 2
total_train_batch_size: 64
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: 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
0.0911	0.83	100	0.3514	-0.0382	-1.3191	1.0	1.2809	-738.6374	-69.0788	-3.3885	-3.7525

Framework versions

Transformers 4.39.0.dev0
Pytorch 2.1.2
Datasets 2.14.6
Tokenizers 0.15.2

Minbyul/biomistral-7b-dpo-full-sft-wo-kqa_silver_wogold

biomistral-7b-dpo-full-sft-wo-kqa_silver_wogold

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Minbyul/
biomistral-7b-dpo-full-sft-wo-kqa_silver_wogold