jordyvl/test_implementation

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test_implementation

This model is a fine-tuned version of bert-base-uncased on the arxiv_dataset dataset. It achieves the following results on the evaluation set:

• —Loss: 0.6736
• —Accuracy: 0.5926
• —Precision: 0.0090
• —Recall: 0.3751
• —F1: 0.0177
• —Hamming: 0.4074

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 4.37.2
• —Pytorch 1.12.1+cu113
• —Datasets 2.16.1
• —Tokenizers 0.15.1