library_name, base_model, tags, datasets, model-index

library_name	base_model	tags	datasets	model-index
transformers	W-61/llama-3-8b-base-sft-hh-helpful-8xh200	alignment-handbook margin-dpo generated_from_trainer	Anthropic/hh-rlhf	name results llama-3-8b-base-margin-dpo-hh-helpful-8xh200-20260410-172009

llama-3-8b-base-margin-dpo-hh-helpful-8xh200-20260410-172009

This model is a fine-tuned version of W-61/llama-3-8b-base-sft-hh-helpful-8xh200 on the Anthropic/hh-rlhf dataset. It achieves the following results on the evaluation set:

• Loss: 0.4588
• Margin Dpo/margin Mean: 11.1187
• Margin Dpo/margin Std: 15.0696
• Logps/chosen: -119.7147
• Logps/rejected: -113.9535
• Logps/ref Chosen: -97.0617
• Logps/ref Rejected: -80.1818
• Logits/chosen: -0.5876
• Logits/rejected: -0.5495

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: 16
• eval_batch_size: 16
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• total_train_batch_size: 128
• total_eval_batch_size: 128
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Margin Dpo/margin Mean	Margin Dpo/margin Std	Logps/chosen	Logps/rejected	Logps/ref Chosen	Logps/ref Rejected	Logits/chosen	Logits/rejected
0.4265	0.2941	100	0.5427	5.3418	10.0613	-107.1989	-95.6607	-97.0617	-80.1818	-0.6361	-0.6086
0.3411	0.5882	200	0.4754	10.2996	14.6526	-119.3164	-112.7360	-97.0617	-80.1818	-0.6021	-0.5640
0.3552	0.8824	300	0.4588	11.1187	15.0696	-119.7147	-113.9535	-97.0617	-80.1818	-0.5876	-0.5495

Framework versions

• Transformers 4.51.0
• Pytorch 2.3.1+cu121
• Datasets 2.21.0
• Tokenizers 0.21.4