slm-2-dpo-full

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slm-2-dpo-full

This model is a fine-tuned version of stabilityai/stablelm-2-zephyr-1_6b on the HuggingFaceH4/ultrafeedback_binarized dataset. It achieves the following results on the evaluation set:

• Loss: 31.9894
• Rewards/chosen: 0.0244
• Rewards/rejected: 0.0188
• Rewards/accuracies: 0.5234
• Rewards/margins: 0.0057
• Logps/rejected: -2491.7576
• Logps/chosen: -2806.6704
• Logits/rejected: -1.6239
• Logits/chosen: -1.6845

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: 5
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• gradient_accumulation_steps: 2
• total_train_batch_size: 80
• 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 4.36.2
• Pytorch 2.2.0+cu118
• Datasets 2.14.6
• Tokenizers 0.15.2