genki10/ASAP_FineTuningBERT_UnAugV7_k1_task1_organization_k1_k1_fold1

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ASAPFineTuningBERTUnAugV7k1task1organizationk1k1fold1

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: 0.9828
• —Qwk: 0.0583
• —Mse: 0.9815
• —Rmse: 0.9907

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: 64
• —evalbatchsize: 64
• —seed: 42
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 100

Training results

Framework versions

• —Transformers 4.47.0
• —Pytorch 2.5.1+cu121
• —Datasets 3.2.0
• —Tokenizers 0.21.0