badokorach/minilm-uncased-squad2-agric-041223

This model is a fine-tuned version of deepset/minilm-uncased-squad2 on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.9972
• 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: {'inner_optimizer': {'module': 'transformers.optimization_tf', 'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 1e-05, 'decay_steps': 1380, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.8999999761581421, 'beta_2': 0.9990000128746033, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.001}, 'registered_name': 'AdamWeightDecay'}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
• training_precision: mixed_float16

Training results

Train Loss	Validation Loss	Epoch
2.5655	0.0	0
2.0739	0.0	1
1.8572	0.0	2
1.6760	0.0	3
1.5234	0.0	4
1.3978	0.0	5
1.3269	0.0	6
1.2199	0.0	7
1.1821	0.0	8
1.1377	0.0	9
1.0846	0.0	10
1.0607	0.0	11
1.0123	0.0	12
1.0112	0.0	13
0.9972	0.0	14

Framework versions

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