metadata

language:
  - en
thumbnail: >-
  https://avatars3.githubusercontent.com/u/32437151?s=460&u=4ec59abc8d21d5feea3dab323d23a5860e6996a4&v=4
tags:
  - text-classification
  - ag_news
  - pytorch
license: MIT
datasets:
  - ag_news
metrics:
  - accuracy

bert-base-uncased-ag-news

Model description

bert-base-uncased finetuned on the AG News dataset using PyTorch Lightning. Sequence length 128, learning rate 2e-5, batch size 32, 4 T4 GPUs, 4 epochs. The code can be found here

Limitations and bias

Not the best model...

Training data

Data came from HuggingFace's datasets package. The data can be viewed on nlp viewer.

Training procedure

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Eval results

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