rmodel1

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

• Train Loss: 2.5987
• Train Accuracy: 0.5134
• Validation Loss: 2.0008
• Validation Accuracy: 0.6223
• Epoch: 4

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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 250, '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-07, 'amsgrad': False}
• training_precision: float32

Training results

Train Loss	Train Accuracy	Validation Loss	Validation Accuracy	Epoch
6.4381	0.3094	3.9639	0.3781	0
3.6872	0.3491	2.7335	0.4262	1
3.0443	0.3966	2.4090	0.5211	2
2.7687	0.4612	2.1562	0.6008	3
2.5987	0.5134	2.0008	0.6223	4

Framework versions

• Transformers 4.48.3
• TensorFlow 2.14.0
• Datasets 3.3.0
• Tokenizers 0.21.0