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Training in progress epoch 2
719d10e
metadata
license: mit
base_model: csarron/mobilebert-uncased-squad-v2
tags:
  - generated_from_keras_callback
model-index:
  - name: badokorach/mobilebert-uncased-finetuned-mlqa-031223
    results: []

badokorach/mobilebert-uncased-finetuned-mlqa-031223

This model is a fine-tuned version of csarron/mobilebert-uncased-squad-v2 on an unknown dataset. It achieves the following results on the evaluation set:

  • Train Loss: 0.6947
  • Validation Loss: 0.0
  • Epoch: 2

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': 5358, '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
0.9214 0.0 0
0.7617 0.0 1
0.6947 0.0 2

Framework versions

  • Transformers 4.35.2
  • TensorFlow 2.14.0
  • Datasets 2.15.0
  • Tokenizers 0.15.0