CoolFace
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mirfan899/da-sentiment

sourceHugging Facecc-by-4.0updated 1y agoView on Hugging Face
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Model Card

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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: 0.4976
  • Accuracy: 0.8377

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: 1e-05
  • trainbatchsize: 32
  • evalbatchsize: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • num_epochs: 15

Training results

Training LossEpochStepValidation LossAccuracy
No log1.0580.61680.7446
No log2.01160.56890.7554
0.42553.01740.55420.7814
0.42554.02320.52240.7944
0.26555.02900.51720.8030
0.26556.03480.49920.8182
0.19447.04060.48520.8290
0.19448.04640.49720.8312
0.17729.05220.49050.8333
0.177210.05800.49150.8290
0.177211.06380.49360.8333
0.165412.06960.49390.8333
0.165413.07540.49440.8377
0.160514.08120.49690.8355
0.160515.08700.49760.8377

Framework versions

  • Transformers 4.28.0
  • Pytorch 2.0.0+cu118
  • Datasets 2.12.0
  • Tokenizers 0.13.3