metadata

license: mit
base_model: khadija69/xlmRobertaLarge_BIES_stem_1K_3
tags:
  - generated_from_keras_callback
model-index:
  - name: khadija69/xlmRobertaLarge_BIES_stem_1K_4
    results: []

khadija69/xlmRobertaLarge_BIES_stem_1K_4

This model is a fine-tuned version of khadija69/xlmRobertaLarge_BIES_stem_1K_3 on an unknown dataset. It achieves the following results on the evaluation set:

Train Loss: 0.5089
Train Accuracy: 0.5762
Validation Loss: 0.6467
Validation Accuracy: 0.5601
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': {'module': 'transformers.optimization_tf', 'class_name': 'WarmUp', 'config': {'initial_learning_rate': 2e-05, 'decay_schedule_fn': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 1300, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'warmup_steps': 500, 'power': 1.0, 'name': None}, 'registered_name': 'WarmUp'}, '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	Train Accuracy	Validation Loss	Validation Accuracy	Epoch
0.6674	0.5493	0.6292	0.5491	0
0.6193	0.5540	0.6428	0.5514	1
0.5089	0.5762	0.6467	0.5601	2

Framework versions

Transformers 4.42.3
TensorFlow 2.15.0
Datasets 2.20.0
Tokenizers 0.19.1