metadata

library_name: transformers
license: apache-2.0
base_model: bert-base-multilingual-cased
tags:
  - generated_from_keras_callback
model-index:
  - name: mahabharahta/my_awesome_wnut_model
    results: []

mahabharahta/my_awesome_wnut_model

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

Train Loss: 0.2774
Validation Loss: 0.3035
Train Precision: 0.5376
Train Recall: 0.2907
Train F1: 0.3773
Train Accuracy: 0.9383
Epoch: 0

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': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 636, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: float32

Training results

Train Loss	Validation Loss	Train Precision	Train Recall	Train F1	Train Accuracy	Epoch
0.2774	0.3035	0.5376	0.2907	0.3773	0.9383	0

Framework versions

Transformers 4.44.2
TensorFlow 2.17.0
Datasets 3.0.1
Tokenizers 0.19.1