bdpc/test_AsymmetricLoss_25K_bs64_P4_N1

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testAsymmetricLoss25Kbs64P4_N1

This model is a fine-tuned version of allenai/scibert_scivocab_uncased on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 0.6203
• —Accuracy: 0.7448
• —Precision: 0.0101
• —Recall: 0.2592
• —F1: 0.0194
• —Hamming: 0.2552

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: 40
• —evalbatchsize: 40
• —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