zephyr-7b-shp

This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-full on the SeniorKabanocci/SHP-binarized dataset. It achieves the following results on the evaluation set:

• Loss: 0.4546
• Rewards/chosen: -1.0035
• Rewards/rejected: -2.3680
• Rewards/accuracies: 0.7864
• Rewards/margins: 1.3644
• Logps/rejected: -260.2372
• Logps/chosen: -378.4407
• Logits/rejected: -2.7522
• Logits/chosen: -2.7984

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: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_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

Framework versions

• PEFT 0.10.0
• Transformers 4.42.3
• Pytorch 2.2.0
• Datasets 2.20.0
• Tokenizers 0.19.1