gpl-500 / README.md
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Training in progress epoch 9
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metadata
base_model: google/pegasus-large
tags:
  - generated_from_keras_callback
model-index:
  - name: s-man2099/gpl-500
    results: []

s-man2099/gpl-500

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

  • Train Loss: 3.3443
  • Validation Loss: 3.4426
  • 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': 'Adafactor', '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': 6e-06, 'beta_2_decay': -0.8, 'epsilon_1': 1e-30, 'epsilon_2': 0.001, 'clip_threshold': 1.0, 'relative_step': True}
  • training_precision: mixed_float16

Training results

Train Loss Validation Loss Epoch
4.1677 3.5365 0
3.8816 3.4822 1
3.7387 3.4553 2
3.6480 3.4469 3
3.5652 3.4379 4
3.4882 3.4368 5
3.4169 3.4429 6
3.3414 3.4427 7
3.3382 3.4421 8
3.3443 3.4426 9

Framework versions

  • Transformers 4.34.1
  • TensorFlow 2.14.0
  • Datasets 2.14.6
  • Tokenizers 0.14.1