ilharco/altruistic-zephyr-7b-sft-qlora

zephyr-7b-dpo-qlora

This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-qlora on the ilharco/altruism_1k dataset. It achieves the following results on the evaluation set:

• Loss: 0.0420
• Rewards/chosen: -5.5143
• Rewards/rejected: -13.0608
• Rewards/accuracies: 0.9949
• Rewards/margins: 7.5465
• Logps/rejected: -1865.7168
• Logps/chosen: -1348.6318
• Logits/rejected: -2.6274
• Logits/chosen: -2.6531

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-06
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• distributed_type: multi-GPU
• gradient_accumulation_steps: 4
• total_train_batch_size: 4
• 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
0.1963	0.51	100	0.1328	-1.0972	-3.5537	1.0	2.4565	-915.0070	-906.9143	-2.8398	-2.8256

Framework versions

• PEFT 0.7.1
• Transformers 4.36.2
• Pytorch 2.1.2
• Datasets 2.14.6
• Tokenizers 0.15.2