kasrahabib/gpt2-finetuned-iso29148-sward-on-promise-km-labels-f-nf-cls

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

• Train Loss: 0.0043
• Validation Loss: 0.4534
• Epoch: 14

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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 61815, '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-08, 'amsgrad': False}
• training_precision: float32

Training results

Train Loss	Validation Loss	Epoch
0.4009	0.2523	0
0.2466	0.2587	1
0.1737	0.2424	2
0.1156	0.2541	3
0.0731	0.2580	4
0.0488	0.3160	5
0.0364	0.2907	6
0.0268	0.3266	7
0.0178	0.4484	8
0.0162	0.3838	9
0.0107	0.4148	10
0.0073	0.4724	11
0.0068	0.4474	12
0.0041	0.4823	13
0.0043	0.4534	14

Framework versions

• Transformers 4.42.3
• TensorFlow 2.15.0
• Datasets 2.19.1
• Tokenizers 0.19.1