gpt_medium_emotion / README.md
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metadata
license: mit
tags:
  - generated_from_keras_callback
model-index:
  - name: gpt_medium_emotion
    results: []

gpt_medium_emotion

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

  • Train Loss: 0.8023
  • Validation Loss: 1.4614
  • Epoch: 2

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': {'class_name': 'ExponentialDecay', 'config': {'initial_learning_rate': 0.0005, 'decay_steps': 500, 'decay_rate': 0.95, 'staircase': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
  • training_precision: float32

Training results

Train Loss Validation Loss Epoch
1.3542 1.2651 0
1.0773 1.3099 1
0.8023 1.4614 2

Framework versions

  • Transformers 4.26.0
  • TensorFlow 2.9.2
  • Datasets 2.9.0
  • Tokenizers 0.13.2