manasi / README.md
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Training in progress epoch 18
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metadata
license: apache-2.0
base_model: bert-base-uncased
tags:
  - generated_from_keras_callback
model-index:
  - name: vedantjumle/manasi
    results: []

vedantjumle/manasi

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

  • Train Loss: 0.9757
  • Train Accuracy: 0.7839
  • 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': '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': 2e-05, 'decay_steps': 480, '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 Train Accuracy Epoch
2.7486 0.4271 0
2.2633 0.4297 1
2.1244 0.4284 2
2.0740 0.4258 3
2.0444 0.4323 4
2.0005 0.4922 5
1.9095 0.5169 6
1.7609 0.5924 7
1.6275 0.6484 8
1.4806 0.6706 9
1.3658 0.7005 10
1.2600 0.7409 11
1.1962 0.7487 12
1.1222 0.7487 13
1.0866 0.7721 14
1.0440 0.7786 15
1.0203 0.7839 16
1.0053 0.7852 17
0.9757 0.7839 18

Framework versions

  • Transformers 4.34.0
  • TensorFlow 2.13.0
  • Datasets 2.14.5
  • Tokenizers 0.14.1