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jayantapaul888/smalldata-microsoft-deberta-base-eng-only-sentiment-single-finetuned-memes

sourceHugging Faceapache-2.0updated 4y agoView on Hugging Face
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Model Card

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smalldata-microsoft-deberta-base-eng-only-sentiment-single-finetuned-memes

This model is a fine-tuned version of jayantapaul888/twitter-data-microsoft-deberta-base-mnli-sentiment-finetuned-memes on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.9308
  • —Accuracy: 0.8429
  • —Precision: 0.8588
  • —Recall: 0.8579
  • —F1: 0.8583

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
  • —trainbatchsize: 32
  • —evalbatchsize: 32
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 6

Training results

Training LossEpochStepValidation LossAccuracyPrecisionRecallF1
No log1.03780.33070.84070.86820.85490.8541
0.3532.07560.36770.85180.86690.86560.8662
0.17263.011340.52190.83920.85700.85490.8548
0.06814.015120.71940.84140.85780.85660.8572
0.06815.018900.86170.84070.85730.85600.8565
0.02336.022680.93080.84290.85880.85790.8583

Framework versions

  • —Transformers 4.24.0.dev0
  • —Pytorch 1.11.0+cu102
  • —Datasets 2.6.1
  • —Tokenizers 0.13.1