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jayantapaul888/smalldata-distilbert-base-uncasede-eng-only-sentiment-single-finetuned-memes

sourceHugging Faceapache-2.0updated 4y agoView on Hugging Face
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smalldata-distilbert-base-uncasede-eng-only-sentiment-single-finetuned-memes

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

  • —Loss: 0.8366
  • —Accuracy: 0.8466
  • —Precision: 0.8630
  • —Recall: 0.8621
  • —F1: 0.8619

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 log1.03780.33120.84360.86810.85740.8573
0.35442.07560.35630.84440.86080.85880.8597
0.17323.011340.49140.84880.86410.86340.8637
0.07084.015120.68490.84660.86180.86180.8618
0.07085.018900.81650.84880.86590.86420.8638
0.02526.022680.83660.84660.86300.86210.8619

Framework versions

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