tmnam20/mdeberta-v3-base-mnli-10

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mdeberta-v3-base-mnli-10

This model is a fine-tuned version of microsoft/mdeberta-v3-base on the tmnam20/VieGLUE/MNLI dataset. It achieves the following results on the evaluation set:

• —Loss: 0.4642
• —Accuracy: 0.8431

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: 2e-05
• —trainbatchsize: 32
• —evalbatchsize: 16
• —seed: 10
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 3.0

Training results

Framework versions

• —Transformers 4.35.2
• —Pytorch 2.2.0.dev20231203+cu121
• —Datasets 2.15.0
• —Tokenizers 0.15.0