ChrisZeng/electra-large-discriminator-nli-efl-tweeteval

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electra-large-discriminator-nli-efl-tweeteval

This model is a fine-tuned version of ynie/electra-large-discriminator-snli_mnli_fever_anli_R1_R2_R3-nli on the None dataset. It achieves the following results on the evaluation set:

• —Accuracy: 0.7943
• —F1: 0.7872
• —Loss: 0.3004

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: 8
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 16
• —totaltrainbatch_size: 128
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 10

Training results

Framework versions

• —Transformers 4.16.2
• —Pytorch 1.12.0.dev20220417
• —Datasets 2.1.0
• —Tokenizers 0.10.3