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Samsoup/deberta-v3-base-sst5

sourceHugging Facemitupdated 2y agoView on Hugging Face
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deberta-v3-base-sst5

This model is a fine-tuned version of microsoft/deberta-v3-base on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 1.0544
  • —F1: 0.5493

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: 64
  • —evalbatchsize: 64
  • —seed: 42
  • —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • —lrschedulertype: linear
  • —lrschedulerwarmup_ratio: 0.01
  • —num_epochs: 10.0

Training results

Training LossEpochStepValidation LossF1
1.15250.74631001.23480.3353
1.01381.49252001.08830.4924
0.91362.23883001.07270.5172
0.88062.98514001.10050.5205
0.81153.73135001.05440.5493
0.74834.47766001.10930.5307
0.6965.22397001.10640.5424
0.71675.97018001.14070.5293
0.70796.71649001.17660.5206
0.65937.462710001.21030.5257
0.62998.209011001.20310.5249
0.6758.955212001.21170.5198
0.56199.701513001.22190.5208

Framework versions

  • —Transformers 4.49.0
  • —Pytorch 2.5.1
  • —Datasets 3.2.0
  • —Tokenizers 0.21.0