tanliboy/lambda-qwen2.5-32b-dpo-test

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lambda-qwen2.5-32b-dpo-test

This model is a fine-tuned version of Qwen/Qwen2.5-32B-Instruct on the tanliboy/orcadpopairs dataset. It achieves the following results on the evaluation set:

• —Loss: 0.0003
• —Rewards/chosen: -10.1618
• —Rewards/rejected: -26.1150
• —Rewards/accuracies: 1.0
• —Rewards/margins: 15.9532
• —Logps/rejected: -3049.5271
• —Logps/chosen: -1372.8903
• —Logits/rejected: -0.3154
• —Logits/chosen: -0.0600

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
• —trainbatchsize: 2
• —evalbatchsize: 2
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 8
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 32
• —totalevalbatch_size: 16
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 1

Training results

Framework versions

• —Transformers 4.44.2
• —Pytorch 2.4.0+cu121
• —Datasets 2.19.1
• —Tokenizers 0.19.1