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hope613/distilbert-base-multilingual-cased-finetuned-emotion

sourceHugging Faceapache-2.0updated 3mo agoView on Hugging Face
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Model Card

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distilbert-base-multilingual-cased-finetuned-emotion

This model is a fine-tuned version of distilbert/distilbert-base-multilingual-cased on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.1933
  • —Accuracy: 0.9325
  • —F1: 0.9327

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: 64
  • —evalbatchsize: 64
  • —seed: 42
  • —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • —lrschedulertype: linear
  • —num_epochs: 10

Training results

Training LossEpochStepValidation LossAccuracyF1
1.06731.02500.44980.8660.8649
0.31002.05000.24740.91350.9133
0.18183.07500.21310.9210.9219
0.13984.010000.18770.9290.9295
0.10825.012500.18740.92750.9277
0.09156.015000.18940.9310.9313
0.07907.017500.19100.9310.9308
0.06788.020000.19390.9310.9312
0.05749.022500.19760.930.9303
0.051110.025000.19330.93250.9327

Framework versions

  • —Transformers 5.12.1
  • —Pytorch 2.12.0
  • —Datasets 5.0.0
  • —Tokenizers 0.22.2