metadata
library_name: peft
license: mit
base_model: emilyalsentzer/Bio_ClinicalBERT
tags:
- base_model:adapter:emilyalsentzer/Bio_ClinicalBERT
- lora
- transformers
model-index:
- name: finetunePathologicalTextUsingBioBERT
results: []
finetunePathologicalTextUsingBioBERT
This model is a fine-tuned version of emilyalsentzer/Bio_ClinicalBERT on the None dataset.
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: 0.0005
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 10000
- mixed_precision_training: Native AMP
Training results
Framework versions
- PEFT 0.19.1
- Transformers 5.7.0
- Pytorch 2.6.0+cu124
- Datasets 4.8.5
- Tokenizers 0.22.2