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Shotaro30678/archive_sentiment_analysis_for_emotion_chat_bot

sourceHugging Faceupdated 2y agoView on Hugging Face
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sentimentanalysisforemotionchat_bot

This model is a fine-tuned version of michellejieli/emotion_text_classifier on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.4012
  • —Accuracy: 0.8653
  • —F1-score: 0.8582
  • —Num Input Tokens Seen: 130810880

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: 0.0001
  • —trainbatchsize: 8
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: constant
  • —lrschedulerwarmup_ratio: 0.03
  • —num_epochs: 5
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossAccuracyF1-scoreInput Tokens Seen
No log1.063880.39320.87150.867826162176
0.66592.0127760.37700.87240.868052324352
0.66593.0191640.35310.87760.874978486528
0.6434.0255520.37350.87260.8696104648704
0.6435.0319400.40120.86530.8582130810880

Framework versions

  • —Transformers 4.44.2
  • —Pytorch 2.4.0+cu121
  • —Datasets 3.0.0
  • —Tokenizers 0.19.1