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medicalai_ClinicalBERT-2025-04-11_21-28-21 – AI Model by ashercn97 | AlphaNeural AI
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medicalai_ClinicalBERT-2025-04-11_21-28-21
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transformers
tensorboard
safetensors
distilbert
fill-mask
generated_from_trainer
medicalai/ClinicalBERT
finetune
autotrain_compatible
endpoints_compatible
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medicalai_ClinicalBERT-2025-04-11_21-28-21
This model is a fine-tuned version of
medicalai/ClinicalBERT
on an unknown dataset. It achieves the following results on the evaluation set:
eval_loss: 2.1498
eval_runtime: 10.7498
eval_samples_per_second: 407.265
eval_steps_per_second: 50.978
epoch: 1.0153
step: 13750
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: 8
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2
Framework versions
Transformers 4.51.2
Pytorch 2.6.0
Datasets 3.5.0
Tokenizers 0.21.1
