michaelp11/zeroshot-classification-de

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zeroshot-classification-de

This model is a fine-tuned version of MoritzLaurer/deberta-v3-base-zeroshot-v1.1-all-33 on the michaelp11/wiki-tags dataset. It achieves the following results on the evaluation set:

• —Loss: 0.4552
• —F1 Micro: 0.859
• —Accuracy: 0.859
• —Precision Micro: 0.859
• —Recall Micro: 0.859

Intended uses & limitations

Zeroshot classification for german language - yay.

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 2e-05
• —trainbatchsize: 32
• —evalbatchsize: 128
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.06
• —num_epochs: 3
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.37.2
• —Pytorch 2.2.0+cu121
• —Datasets 2.16.1
• —Tokenizers 0.15.1