You can deploy this model and start earning money today!

badokorach/
afriqa_afroxlmr_squad_v2_060124

Name: afriqa_afroxlmr_squad_v2_060124
Rating: 2.5 (8 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_060124

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: 0.7582
Validation Loss: 0.0
Epoch: 14

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: {'inner_optimizer': {'module': 'transformers.optimization_tf', 'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 1e-05, 'decay_steps': 1725, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.8999999761581421, 'beta_2': 0.9990000128746033, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.02}, 'registered_name': 'AdamWeightDecay'}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
training_precision: mixed_float16

Training results

Train Loss	Validation Loss	Epoch
2.3131	0.0	0
1.9951	0.0	1
1.7230	0.0	2
1.5354	0.0	3
1.3813	0.0	4
1.2360	0.0	5
1.1395	0.0	6
1.0669	0.0	7
0.9678	0.0	8
0.9082	0.0	9
0.8624	0.0	10
0.7982	0.0	11
0.7904	0.0	12
0.7597	0.0	13
0.7582	0.0	14

Framework versions

Transformers 4.35.2
TensorFlow 2.15.0
Datasets 2.16.1
Tokenizers 0.15.0