da-sentiment / README.md
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metadata
license: cc-by-4.0
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: da-sentiment
    results: []

da-sentiment

This model is a fine-tuned version of Maltehb/danish-bert-botxo on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2088
  • Accuracy: 0.9337

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: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 46 0.2516 0.9144
No log 2.0 92 0.2332 0.9199
No log 3.0 138 0.2088 0.9337

Framework versions

  • Transformers 4.26.0
  • Pytorch 1.13.1+cu116
  • Datasets 2.9.0
  • Tokenizers 0.13.2