badokorach/Albert-finetuned-210124

This model is a fine-tuned version of twmkn9/albert-base-v2-squad2 on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.1484
• Validation Loss: 0.0
• 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': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 2265, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.002}
• training_precision: mixed_float16

Training results

Train Loss	Validation Loss	Epoch
2.5485	0.0	0
1.7396	0.0	1
1.2623	0.0	2
0.9069	0.0	3
0.6427	0.0	4
0.4773	0.0	5
0.3798	0.0	6
0.3165	0.0	7
0.2573	0.0	8
0.2261	0.0	9
0.2054	0.0	10
0.1899	0.0	11
0.1712	0.0	12
0.1603	0.0	13
0.1484	0.0	14

Framework versions

• Transformers 4.35.2
• TensorFlow 2.15.0
• Datasets 2.16.1
• Tokenizers 0.15.0