articleGeneratorV1.1

This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 4.0892
• Validation Loss: 3.7369
• Train Rougel: tf.Tensor(0.09479926, shape=(), dtype=float32)
• Epoch: 3

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': 2e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
• training_precision: float32

Training results

Train Loss	Validation Loss	Train Rougel	Epoch
4.9876	4.0661	tf.Tensor(0.09371002, shape=(), dtype=float32)	0
4.3219	3.8884	tf.Tensor(0.094065286, shape=(), dtype=float32)	1
4.1754	3.7968	tf.Tensor(0.094352074, shape=(), dtype=float32)	2
4.0892	3.7369	tf.Tensor(0.09479926, shape=(), dtype=float32)	3

Framework versions

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