This model is a fine-tuned version of google/gemma-2-9b-it on the cdc0b2d9-493b-4cb1-87e8-8fb1e3f4b247 dataset. It achieves the following results on the evaluation set:

Loss: 3.9424
Rewards/chosen: -46.0706
Rewards/rejected: -47.7080
Rewards/accuracies: 0.6460
Rewards/margins: 1.6374
Logps/rejected: -4.7708
Logps/chosen: -4.6071
Logits/rejected: 14.6998
Logits/chosen: 14.4715

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: 8e-07
train_batch_size: 2
eval_batch_size: 2
seed: 42
distributed_type: multi-GPU
num_devices: 32
gradient_accumulation_steps: 2
total_train_batch_size: 128
total_eval_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1.0

Training results

Training Loss	Epoch	Step	Validation Loss	Rewards/chosen	Rewards/rejected	Rewards/accuracies	Rewards/margins	Logps/rejected	Logps/chosen	Logits/rejected	Logits/chosen
3.9729	1.0	7344	3.9424	-46.0706	-47.7080	0.6460	1.6374	-4.7708	-4.6071	14.6998	14.4715

Framework versions

Transformers 4.45.2
Pytorch 2.3.0
Datasets 2.21.0
Tokenizers 0.20.2

RichardErkhov/mlfoundations-dev_-_gemma-oh-preferences-4bits

Original model description:

gemma-oh-preferences

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

RichardErkhov/
mlfoundations-dev_-_gemma-oh-preferences-4bits