badokorach/distilbert-base-cased-distilled-agric-431223

This model is a fine-tuned version of distilbert-base-cased-distilled-squad on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.2983
• Validation Loss: 0.0
• Epoch: 18

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': 1e-05, 'decay_steps': 1020, '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': 0.02}
• training_precision: mixed_float16

Training results

Train Loss	Validation Loss	Epoch
2.7789	0.0	0
1.9616	0.0	1
1.7173	0.0	2
1.4140	0.0	3
1.2717	0.0	4
1.1056	0.0	5
0.9403	0.0	6
0.8326	0.0	7
0.7148	0.0	8
0.6565	0.0	9
0.5461	0.0	10
0.4961	0.0	11
0.4480	0.0	12
0.4153	0.0	13
0.3842	0.0	14
0.3511	0.0	15
0.3115	0.0	16
0.3033	0.0	17
0.2983	0.0	18

Framework versions

• Transformers 4.35.2
• TensorFlow 2.14.0
• Datasets 2.15.0
• Tokenizers 0.15.0