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badokorach/
afriqa_afroxlmr_lug_250124

Name: afriqa_afroxlmr_lug_250124
Availability: InStock

transformers

xlm-roberta

question-answering

generated_from_keras_callback

masakhane/afriqa_afroxlmr_squad_v2

finetune

mit

endpoints_compatible

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badokorach/afriqa_afroxlmr_lug_250124

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: 1.8447
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': 3520, '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
3.4578	0.0	0
3.2460	0.0	1
3.1750	0.0	2
3.1099	0.0	3
3.0490	0.0	4
2.9633	0.0	5
2.8794	0.0	6
3.0420	0.0	7
2.6324	0.0	8
2.5253	0.0	9
2.4274	0.0	10
2.3290	0.0	11
2.2193	0.0	12
2.1263	0.0	13
2.0546	0.0	14
1.9944	0.0	15
1.9583	0.0	16
1.8896	0.0	17
1.8845	0.0	18
1.8447	0.0	19

Framework versions

Transformers 4.35.2
TensorFlow 2.15.0
Datasets 2.16.1
Tokenizers 0.15.1