CoolFace
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master-mahdi/war_intent_detection_fa

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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Model Card

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warintentdetection_fa

This model is a fine-tuned version of HooshvareLab/bert-fa-base-uncased-clf-persiannews on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1913
  • Accuracy: 0.9300

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: 2e-05
  • trainbatchsize: 32
  • evalbatchsize: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • num_epochs: 10

Training results

Training LossEpochStepValidation LossAccuracy
0.67511.08050.28320.8974
0.23662.016100.23690.9146
0.20473.024150.19810.9271
0.17524.032200.20190.9287
0.15655.040250.20460.9220
0.15156.048300.20370.9271
0.14687.056350.19750.9282
0.13418.064400.19820.9284
0.13459.072450.19390.9293
0.13510.080500.19130.9300

Framework versions

  • Transformers 4.43.1
  • Pytorch 2.3.1+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1