You can deploy this model and start earning money today!

badokorach/
afriqa_afroxlmr_squad_v2_lug-151223

Name: afriqa_afroxlmr_squad_v2_lug-151223
Rating: 2.5 (6 reviews)

transformers

xlm-roberta

question-answering

generated_from_keras_callback

masakhane/afriqa_afroxlmr_squad_v2

finetune

mit

endpoints_compatible

Views

No views yet

badokorach/afriqa_afroxlmr_squad_v2_lug-151223

This model is a fine-tuned version of masakhane/afriqa_afroxlmr_squad_v2 on an unknown dataset. It achieves the following results on the evaluation set:

Train Loss: 0.2983
Validation Loss: 0.0
Epoch: 19

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': 1e-05, 'decay_steps': 2220, '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': 0.02}
training_precision: mixed_float16

Training results

Train Loss	Validation Loss	Epoch
2.1442	0.0	0
1.9094	0.0	1
1.8084	0.0	2
1.7026	0.0	3
1.5949	0.0	4
1.4420	0.0	5
1.3059	0.0	6
1.1454	0.0	7
0.9870	0.0	8
0.9118	0.0	9
0.7496	0.0	10
0.6573	0.0	11
0.5447	0.0	12
0.4942	0.0	13
0.4074	0.0	14
0.3881	0.0	15
0.3546	0.0	16
0.3195	0.0	17
0.3119	0.0	18
0.2983	0.0	19

Framework versions

Transformers 4.35.2
TensorFlow 2.15.0
Datasets 2.15.0
Tokenizers 0.15.0