model_review_1 / README.md
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Training in progress epoch 9
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metadata
license: apache-2.0
base_model: distilbert-base-uncased
tags:
  - generated_from_keras_callback
model-index:
  - name: Cielciel/model_review_1
    results: []

Cielciel/model_review_1

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

  • Train Loss: 0.0046
  • Validation Loss: 0.5002
  • Train Accuracy: 0.9048
  • Epoch: 9

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': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 0.0002, 'decay_steps': 410, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
  • training_precision: float32

Training results

Train Loss Validation Loss Train Accuracy Epoch
1.0941 0.4962 0.8631 0
0.2748 0.4719 0.8631 1
0.1988 0.4680 0.8869 2
0.1184 0.4918 0.8929 3
0.0596 0.5523 0.8929 4
0.0361 0.4331 0.8988 5
0.0279 0.5861 0.8631 6
0.0174 0.6780 0.8571 7
0.0223 0.5314 0.8988 8
0.0046 0.5002 0.9048 9

Framework versions

  • Transformers 4.35.2
  • TensorFlow 2.15.0
  • Datasets 2.16.0
  • Tokenizers 0.15.0