This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the princeton-nlp/llama3-ultrafeedback-armorm dataset. It achieves the following results on the evaluation set:

Loss: 0.3499
Rewards/chosen: -11.9406
Rewards/rejected: -16.3570
Rewards/accuracies: 0.9004
Rewards/margins: 4.4164
Logps/rejected: -8.1785
Logps/chosen: -5.9703
Logits/rejected: -1.3845
Logits/chosen: -1.3878

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: 2e-06
train_batch_size: 2
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 16
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
0.3805	0.8550	400	0.3499	-11.9406	-16.3570	0.9004	4.4164	-8.1785	-5.9703	-1.3845	-1.3878

Framework versions

Transformers 4.44.2
Pytorch 2.2.0
Datasets 2.21.0
Tokenizers 0.19.1

Jimmy19991222/llama-3-8b-instruct-gapo-v2-rougeL-beta2-he-scale-gamma0.3-lr2.0e-6

llama-3-8b-instruct-gapo-v2-rougeL-beta2-he-scale-gamma0.3-lr2.0e-6

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Jimmy19991222/
llama-3-8b-instruct-gapo-v2-rougeL-beta2-he-scale-gamma0.3-lr2.0e-6