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metadata
license: mit
base_model: badokorach/afriqa_afroxlmr_squad_v2-luganda
tags:
  - generated_from_keras_callback
model-index:
  - name: badokorach/afriqa_afroxlmr_squad_v2-luganda_311223
    results: []

badokorach/afriqa_afroxlmr_squad_v2-luganda_311223

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

  • Train Loss: 0.8762
  • Validation Loss: 0.0
  • Epoch: 18

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': 14760, '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
3.4699 0.0 0
3.3401 0.0 1
3.1487 0.0 2
2.9589 0.0 3
2.7472 0.0 4
2.5135 0.0 5
2.3000 0.0 6
2.0904 0.0 7
1.9314 0.0 8
1.7617 0.0 9
1.6075 0.0 10
1.4573 0.0 11
1.3275 0.0 12
1.2261 0.0 13
1.1378 0.0 14
1.0358 0.0 15
0.9618 0.0 16
0.9082 0.0 17
0.8762 0.0 18

Framework versions

  • Transformers 4.35.2
  • TensorFlow 2.15.0
  • Datasets 2.16.1
  • Tokenizers 0.15.0