metadata

license: mit
base_model: badokorach/mobilebert-uncased-finetuned-agic-181223
tags:
  - generated_from_keras_callback
model-index:
  - name: badokorach/mobilebert-uncased-finetuned-agic-140224
    results: []

badokorach/mobilebert-uncased-finetuned-agic-140224

This model is a fine-tuned version of badokorach/mobilebert-uncased-finetuned-agic-181223 on an unknown dataset. It achieves the following results on the evaluation set:

Train Loss: 0.0163
Validation Loss: 0.0
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': {'module': None, 'class_name': 'CustomLearningRateScheduler', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 2736, 'warmup_steps': 304, 'end_learning_rate': 1e-05}, 'registered_name': 'CustomLearningRateScheduler'}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
training_precision: mixed_float16

Training results

Train Loss	Validation Loss	Epoch
2.0770	0.0	0
0.1217	0.0	1
0.0462	0.0	2
0.0279	0.0	3
0.0163	0.0	4

Framework versions

Transformers 4.35.2
TensorFlow 2.15.0
Datasets 2.17.0
Tokenizers 0.15.1