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

sourceHugging Facemitupdated 4y agoView on Hugging Face
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smalldata-twitter-data-microsoft-deberta-base-mnli-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: 0.6927
  • —Accuracy: 0.8816
  • —Precision: 0.8934
  • —Recall: 0.8938
  • —F1: 0.8936

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 log1.03780.32400.86750.88600.87990.8798
0.3272.07560.29350.88310.89530.89440.8946
0.16923.011340.40000.88380.89460.89590.8952
0.08114.015120.51340.88240.89400.89450.8942
0.08115.018900.58750.88240.89330.89450.8939
0.03136.022680.69270.88160.89340.89380.8936

Framework versions

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