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Training in progress epoch 18
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metadata
license: apache-2.0
base_model: distilbert-base-cased-distilled-squad
tags:
  - generated_from_keras_callback
model-index:
  - name: badokorach/distilbert-base-cased-distilled-agric-431223
    results: []

badokorach/distilbert-base-cased-distilled-agric-431223

This model is a fine-tuned version of distilbert-base-cased-distilled-squad on an unknown dataset. It achieves the following results on the evaluation set:

  • Train Loss: 0.2983
  • 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': 1020, '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
2.7789 0.0 0
1.9616 0.0 1
1.7173 0.0 2
1.4140 0.0 3
1.2717 0.0 4
1.1056 0.0 5
0.9403 0.0 6
0.8326 0.0 7
0.7148 0.0 8
0.6565 0.0 9
0.5461 0.0 10
0.4961 0.0 11
0.4480 0.0 12
0.4153 0.0 13
0.3842 0.0 14
0.3511 0.0 15
0.3115 0.0 16
0.3033 0.0 17
0.2983 0.0 18

Framework versions

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