diegopetrola/mDeBERTa-mnli-kaggle-contradictory-my-dear-watson

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mDeBERTa-mnli-kaggle-contradictory-my-dear-watson

This model is a fine-tuned version of MoritzLaurer/mDeBERTa-v3-base-mnli-xnli on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 0.3225
• —Accuracy: 0.8890

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: 1e-06
• —trainbatchsize: 16
• —evalbatchsize: 16
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 5

Training results

Framework versions

• —Transformers 4.21.1
• —Pytorch 1.12.0+cu113
• —Datasets 2.4.0
• —Tokenizers 0.12.1