alexwb/reward_modeling_anthropic_hh

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rewardmodelinganthropic_hh

This model is a fine-tuned version of facebook/opt-350m on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 0.5931
• —Accuracy: 0.6723

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: 1.41e-05
• —trainbatchsize: 16
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 32
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 1.0

Training results

Framework versions

• —Transformers 4.40.2
• —Pytorch 2.4.0+cu121
• —Datasets 2.19.1
• —Tokenizers 0.19.1