bdpc/test_twowayloss_implementation

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testtwowaylossimplementation

This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 8.9001
• —Accuracy: 0.5659
• —Precision: 0.0114
• —Recall: 0.5082
• —F1: 0.0223
• —Hamming: 0.4341

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: 8
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.1
• —training_steps: 10

Training results

Framework versions

• —Transformers 4.35.0.dev0
• —Pytorch 2.0.1+cu118
• —Datasets 2.7.1
• —Tokenizers 0.14.1