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metadata
license: apache-2.0
base_model: badokorach/distilbert-base-cased-distilled-agric-060124_1
tags:
  - generated_from_keras_callback
model-index:
  - name: badokorach/distilbert-base-cased-distilled-agric-trans-240224
    results: []

badokorach/distilbert-base-cased-distilled-agric-trans-240224

This model is a fine-tuned version of badokorach/distilbert-base-cased-distilled-agric-060124_1 on an unknown dataset. It achieves the following results on the evaluation set:

  • Train Loss: 0.1281
  • 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
0.5050 0.0 0
0.4219 0.0 1
0.3805 0.0 2
0.3095 0.0 3
0.2684 0.0 4
0.2508 0.0 5
0.2261 0.0 6
0.2027 0.0 7
0.1752 0.0 8
0.1588 0.0 9
0.1535 0.0 10
0.1418 0.0 11
0.1394 0.0 12
0.1347 0.0 13
0.1281 0.0 14

Framework versions

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