Edit model card

distilbert-base-uncased-finetuned-emotion

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

  • Loss: 0.2131
  • Accuracy: 0.9265
  • F1: 0.9269

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: 64
  • eval_batch_size: 64
  • 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
0.8031 1.0 250 0.2973 0.9125 0.9110
0.2418 2.0 500 0.2131 0.9265 0.9269

Framework versions

  • Transformers 4.12.5
  • Pytorch 1.10.1
  • Datasets 1.16.1
  • Tokenizers 0.10.3
Downloads last month
4

Dataset used to train EnsarEmirali/distilbert-base-uncased-finetuned-emotion

Evaluation results