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greek-media-bert-base-uncased

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greek-media-bert-base-uncased / README.md
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First version of the your-model-name model and tokenizer.
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metadata
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: greek-media-bert-base-uncased

Greek Media BERT

This model is a domain-adapted version of nlpaueb/bert-base-greek-uncased-v1 on Greek media centric dataset. It achieves the following results on the evaluation set:

  • Loss: 1.1287
  • Accuracy: 0.7616

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: 64
  • eval_batch_size: 64
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3.0

Training results

Framework versions

  • Transformers 4.21.0.dev0
  • Pytorch 1.12.0+cu116
  • Tensorflow 2.11.0
  • Datasets 2.3.2
  • Tokenizers 0.12.1