andi611/distilbert-base-uncased-ner-agnews

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distilbert-base-uncased-agnews

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

• —Loss: 0.1652
• —Accuracy: 0.9474

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: 3e-05
• —trainbatchsize: 32
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 1000
• —num_epochs: 2.0

Training results

Framework versions

• —Transformers 4.8.2
• —Pytorch 1.8.1+cu111
• —Datasets 1.8.0
• —Tokenizers 0.10.3