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robertabase-finetuned-claim-ltp – AI Model by nouman10 | AlphaNeural AI
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nouman10
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robertabase-finetuned-claim-ltp
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0
transformers
tf
roberta
fill-mask
generated_from_keras_callback
mit
autotrain_compatible
endpoints_compatible
us
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nouman10/robertabase-finetuned-claim-ltp
This model is a fine-tuned version of
roberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.0790
Validation Loss: 0.0631
Epoch: 4
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': {'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'WarmUp', 'config': {'initial_learning_rate': 2e-05, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': -944, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, '
passive_serialization
': True}, 'warmup_steps': 1000, 'power': 1.0, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
training_precision: mixed_float16
Training results
Train Loss
Validation Loss
Epoch
0.7492
0.5024
0
0.3207
0.1321
1
0.1186
0.0949
2
0.0929
0.0793
3
0.0790
0.0631
4
Framework versions
Transformers 4.19.1
TensorFlow 2.8.0
Datasets 2.2.1
Tokenizers 0.12.1
