You can deploy this model and start earning money today!

rchrdwllm/
BioClinical-ModernBERT-base-Symptom2Disease_WITHOUT-DROPOUT-123

Name: BioClinical-ModernBERT-base-Symptom2Disease_WITHOUT-DROPOUT-123
Rating: 2.5 (5 reviews)

Views

No views yet

BioClinical-ModernBERT-base-Symptom2Disease_WITHOUT-DROPOUT-123

This model is a fine-tuned version of thomas-sounack/BioClinical-ModernBERT-base on an unknown dataset. It achieves the following results on the evaluation set:

More information needed

More information needed

More information needed

The following hyperparameters were used during training:

learning_rate: 6.840039921359585e-05
train_batch_size: 64
eval_batch_size: 16
seed: 123
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: 5
num_epochs: 8
label_smoothing_factor: 0.1

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.2514	1.0	6	0.6219	0.9545
0.5759	2.0	12	0.5212	0.9545
0.4414	3.0	18	0.4739	0.9318
0.3855	4.0	24	0.4289	0.9545
0.3685	5.0	30	0.3981	1.0
0.3583	6.0	36	0.3917	1.0
0.3561	7.0	42	0.3852	1.0
0.3542	8.0	48	0.3844	1.0