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metadata
license: apache-2.0
base_model: badokorach/distilbert-base-cased-distilled-agric-trans-240224
tags:
  - generated_from_keras_callback
model-index:
  - name: badokorach/distilbert-base-cased-distilled-agric-trans-2402241
    results: []

badokorach/distilbert-base-cased-distilled-agric-trans-2402241

This model is a fine-tuned version of badokorach/distilbert-base-cased-distilled-agric-trans-240224 on an unknown dataset. It achieves the following results on the evaluation set:

  • Train Loss: 0.2119
  • Validation Loss: 0.0
  • Epoch: 14

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': 690, '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
0.8415 0.0 0
0.7094 0.0 1
0.6198 0.0 2
0.5324 0.0 3
0.4700 0.0 4
0.4164 0.0 5
0.3747 0.0 6
0.3353 0.0 7
0.3137 0.0 8
0.2898 0.0 9
0.2684 0.0 10
0.2474 0.0 11
0.2469 0.0 12
0.2305 0.0 13
0.2119 0.0 14

Framework versions

  • Transformers 4.37.2
  • TensorFlow 2.15.0
  • Datasets 2.17.1
  • Tokenizers 0.15.2