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emotion_predictor_for_emotion_chat_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: 0.5314
  • Accuracy: 0.8377
  • F1-score: 0.8526
  • Num Input Tokens Seen: 114874880

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
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: constant
  • lr_scheduler_warmup_ratio: 0.03
  • num_epochs: 5
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Accuracy F1-score Input Tokens Seen
No log 1.0 5610 0.5620 0.8215 0.8298 22974976
0.8517 2.0 11220 0.5038 0.8496 0.8722 45949952
0.8517 3.0 16830 0.5476 0.8308 0.8432 68924928
0.837 4.0 22440 0.5194 0.8549 0.8797 91899904
0.837 5.0 28050 0.5314 0.8377 0.8526 114874880

Framework versions

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