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afriqa_afroxlmr_lug_250124

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TensorFlow
xlm-roberta
generated_from_keras_callback
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afriqa_afroxlmr_lug_250124 / README.md
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metadata
license: mit
base_model: masakhane/afriqa_afroxlmr_squad_v2
tags:
  - generated_from_keras_callback
model-index:
  - name: badokorach/afriqa_afroxlmr_lug_250124
    results: []

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