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text_to_symptom_distilbert – AI Model by DinaSalama | AlphaNeural AI
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DinaSalama
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text_to_symptom_distilbert
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transformers
pytorch
safetensors
distilbert
text-classification
generated_from_trainer
venetis/symptom_text_to_disease_mk4
apache-2.0
autotrain_compatible
endpoints_compatible
us
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text_to_symptom_distbert
This model is a fine-tuned version of
distilbert-base-uncased
on
venetis/symptom_text_to_disease_mk4
.
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:
learning_rate: 5e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 30
Training results
Framework versions
Transformers 4.30.2
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3