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roberta-finetuned-timeentities – AI Model by svo2 | AlphaNeural AI
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svo2
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roberta-finetuned-timeentities
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transformers
pytorch
tf
roberta
question-answering
generated_from_keras_callback
cc-by-4.0
endpoints_compatible
us
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skandaonsolve/roberta-finetuned-timeentities
This model is a fine-tuned version of
deepset/roberta-base-squad2
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.0239
Epoch: 9
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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 3030, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: mixed_float16
Training results
Train Loss
Epoch
0.5969
0
0.3778
1
0.2669
2
0.1882
3
0.1249
4
0.0864
5
0.0566
6
0.0417
7
0.0345
8
0.0239
9
Framework versions
Transformers 4.21.2
TensorFlow 2.8.2
Datasets 2.4.0
Tokenizers 0.12.1
