zephyr-7b-uf-rc-small-dpo

This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-full on the data/uf and the data/rlced_conifer datasets. It achieves the following results on the evaluation set:

• Loss: 0.3443
• Rewards/chosen: -1.6459
• Rewards/rejected: -3.1222
• Rewards/accuracies: 0.8701
• Rewards/margins: 1.4764
• Logps/rejected: -758.1630
• Logps/chosen: -587.9950
• Logits/rejected: -2.7637
• Logits/chosen: -2.7840

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: 8
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• gradient_accumulation_steps: 4
• total_train_batch_size: 256
• 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

Training results

Framework versions

• Transformers 4.44.2
• Pytorch 2.2.0a0+81ea7a4
• Datasets 2.21.0
• Tokenizers 0.19.1