ClinicalBERT-Symptom2Disease-42 – AI Model by rchrdwllm | AlphaNeural AI

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rchrdwllm/
ClinicalBERT-Symptom2Disease-42

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text-classification

generated_from_trainer

medicalai/ClinicalBERT

text-embeddings-inference

endpoints_compatible

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ClinicalBERT-Symptom2Disease-42

This model is a fine-tuned version of medicalai/ClinicalBERT on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.4637
Accuracy: 0.9822

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: 5.73070774474794e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 131
num_epochs: 8
label_smoothing_factor: 0.1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.1887	1.0	132	0.6752	0.9067
0.5111	2.0	264	0.5008	0.9622
0.4641	3.0	396	0.4672	0.9711
0.44	4.0	528	0.4614	0.9778
0.4299	5.0	660	0.4686	0.9756
0.4246	6.0	792	0.4636	0.9822
0.4232	7.0	924	0.4638	0.9822
0.423	8.0	1056	0.4637	0.9822

Framework versions

Transformers 4.57.1
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1