emotion-analysis-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: 0.0477
• Validation Loss: 0.1719
• Train Accuracy: 0.9385
• 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': np.float32(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
0.1052	0.1370	0.933	0
0.0977	0.1273	0.9425	1
0.0864	0.1344	0.936	2
0.0671	0.1592	0.94	3
0.0477	0.1719	0.9385	4

Framework versions

• Transformers 4.57.6
• TensorFlow 2.20.0
• Datasets 5.0.0
• Tokenizers 0.22.2