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results-50 – AI Model by lmarchyok | AlphaNeural AI
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lmarchyok
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results-50
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transformers
tf
bert
fill-mask
generated_from_keras_callback
autotrain_compatible
endpoints_compatible
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lmarchyok/results-50
This model is a fine-tuned version of
pretrained_models/ClinicalBERT_1a/pytorch_model.bin
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 4.5325
Validation Loss: 4.4198
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': 'WarmUp', 'config': {'initial_learning_rate': 2e-05, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': -876, '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}
training_precision: mixed_float16
Training results
Train Loss
Validation Loss
Epoch
10.5607
8.8480
0
8.3720
7.8520
1
7.5093
6.9899
2
6.5973
5.9553
3
5.7612
5.2994
4
5.3788
4.9743
5
5.0024
4.7610
6
4.6840
4.4494
7
4.5158
4.3961
8
4.5325
4.4198
9
Framework versions
Transformers 4.26.1
TensorFlow 2.11.0
Datasets 2.13.1
Tokenizers 0.13.2
