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SiddharthaM/twitter-data-distilbert-base-uncased-sentiment-finetuned-memes-test

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

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twitter-data-distilbert-base-uncased-sentiment-finetuned-memes-test

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: 0.6985
  • —Accuracy: 0.8218
  • —Precision: 0.8225
  • —Recall: 0.8218
  • —F1: 0.8221

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: 6

Training results

Training LossEpochStepValidation LossAccuracyPrecisionRecallF1
No log1.02940.41890.81240.81510.81240.8136
0.43512.05880.40570.82580.82750.82580.8263
0.43513.08820.46280.82200.82440.82200.8224
0.22484.011760.53360.82500.82580.82500.8253
0.22485.014700.64660.82080.82170.82080.8212
0.11586.017640.69850.82180.82250.82180.8221

Framework versions

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