metadata

license: apache-2.0
datasets:
  - nlpaueb/finer-139
tags:
  - generated_from_keras_callback
model-index:
  - name: muhtasham/bert-tiny-finetuned-finer-tf
    results: []

muhtasham/bert-tiny-finetuned-finer-tf

This model is a fine-tuned version of google/bert_uncased_L-2_H-128_A-2 on an unknown dataset. It achieves the following results on the evaluation set:

Train Loss: 0.0372
Validation Loss: 0.0296
Epoch: 2

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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 168822, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, '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: mixed_float16

Training results

Train Loss	Validation Loss	Epoch
0.1188	0.0420	0
0.0438	0.0313	1
0.0372	0.0296	2

Framework versions

Transformers 4.21.0
TensorFlow 2.8.2
Datasets 2.4.0
Tokenizers 0.12.1