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metadata
license: mit
tags:
  - generated_from_keras_callback
base_model: gpt2
model-index:
  - name: soumya13/GPT2_CleanDesc_MAKE_v1.3
    results: []

soumya13/GPT2_CleanDesc_MAKE_v1.3

This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:

  • Train Loss: 0.0171
  • Validation Loss: 0.0004
  • Train Accuracy: 1.0
  • 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': False, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 6180, '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
2.3151 0.8093 0.775 0
0.6489 0.5116 0.825 1
0.2988 0.2341 0.85 2
0.1152 0.0806 1.0 3
0.0876 0.0790 1.0 4
0.0523 0.0376 1.0 5
0.0522 0.0212 1.0 6
0.0222 0.0104 1.0 7
0.0271 0.0044 1.0 8
0.0430 0.0024 1.0 9
0.0101 0.0015 1.0 10
0.0280 0.0011 1.0 11
0.0346 0.0009 1.0 12
0.0275 0.0010 1.0 13
0.0329 0.0007 1.0 14
0.0140 0.0008 1.0 15
0.0121 0.0008 1.0 16
0.0174 0.0005 1.0 17
0.0120 0.0004 1.0 18
0.0171 0.0004 1.0 19

Framework versions

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