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results-100 – AI Model by lmarchyok | AlphaNeural AI
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lmarchyok
/
results-100
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transformers
tf
bert
fill-mask
generated_from_keras_callback
autotrain_compatible
endpoints_compatible
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lmarchyok/results-100
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: 4.4247
Validation Loss: 4.1995
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
10.5630
8.9058
0
8.3931
7.8305
1
7.5274
7.0268
2
6.6788
5.9684
3
5.8770
5.2416
4
5.3391
4.9728
5
4.9493
4.6567
6
4.6030
4.2377
7
4.4378
4.2560
8
4.4247
4.1995
9
Framework versions
Transformers 4.26.1
TensorFlow 2.11.0
Datasets 2.13.1
Tokenizers 0.13.2
