distilbert-base-uncased-finetuned-emotion

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

  • Loss: 0.3818
  • Accuracy: 0.888
  • F1: 0.8817

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
  • train_batch_size: 128
  • eval_batch_size: 128
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss Accuracy F1
1.1334 1.0 125 0.6126 0.79 0.7444
0.475 2.0 250 0.3818 0.888 0.8817

Framework versions

  • Transformers 4.31.0
  • Pytorch 1.12.0
  • Datasets 2.19.1
  • Tokenizers 0.13.3
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