Edit model card

basit12/emotion-analysis-with-distilbert

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

  • Train Loss: 0.0811
  • Validation Loss: 0.1993
  • Train Accuracy: 0.9325
  • Epoch: 4

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:

  • optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 5e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
  • training_precision: float32

Training results

Train Loss Validation Loss Train Accuracy Epoch
0.3670 0.1846 0.925 0
0.1398 0.1508 0.935 1
0.1067 0.1743 0.932 2
0.0925 0.1543 0.9355 3
0.0811 0.1993 0.9325 4

Framework versions

  • Transformers 4.40.0
  • TensorFlow 2.15.0
  • Datasets 2.19.0
  • Tokenizers 0.19.1
Downloads last month
4

Finetuned from