comment_model_test / README.md
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Training in progress epoch 19
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metadata
license: apache-2.0
tags:
  - generated_from_keras_callback
model-index:
  - name: casarf/comment_model_test
    results: []

casarf/comment_model_test

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: 0.2065
  • Validation Loss: 0.6270
  • Train Accuracy: 0.7349
  • Epoch: 19

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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 205, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, '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
0.2042 0.6270 0.7349 0
0.2066 0.6270 0.7349 1
0.2124 0.6270 0.7349 2
0.2138 0.6270 0.7349 3
0.2062 0.6270 0.7349 4
0.2135 0.6270 0.7349 5
0.2113 0.6270 0.7349 6
0.2019 0.6270 0.7349 7
0.2055 0.6270 0.7349 8
0.2129 0.6270 0.7349 9
0.2129 0.6270 0.7349 10
0.2058 0.6270 0.7349 11
0.2016 0.6270 0.7349 12
0.2053 0.6270 0.7349 13
0.2114 0.6270 0.7349 14
0.2037 0.6270 0.7349 15
0.2063 0.6270 0.7349 16
0.2006 0.6270 0.7349 17
0.2114 0.6270 0.7349 18
0.2065 0.6270 0.7349 19

Framework versions

  • Transformers 4.28.1
  • TensorFlow 2.12.0
  • Datasets 2.11.0
  • Tokenizers 0.13.3