bert-base-chinese-finetuned-question-answering-lert-base-2-from-scratch

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bert-base-chinese-finetuned-question-answering-lert-base-2-from-scratch

This model is a fine-tuned version of hfl/chinese-lert-base on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 4.7725
• Exact Match: 0.0455

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: 5e-05
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.1+cu121
• Datasets 3.0.1
• Tokenizers 0.19.1