domenicrosati/deberta-v3-large-survey-topicality-rater-half-gpt4

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deberta-v3-large-survey-topicality-rater-half-gpt4

This model is a fine-tuned version of microsoft/deberta-v3-large on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 2.3050
• —Krippendorff: -0.4955
• —Spearman: -0.1556
• —Absolute Agreement: 0.0433
• —Agreement Within One: 0.9459

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: 6e-06
• —trainbatchsize: 16
• —evalbatchsize: 16
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 1000
• —num_epochs: 20
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.26.0
• —Pytorch 1.13.1
• —Datasets 2.10.1
• —Tokenizers 0.12.1