metadata

library_name: peft
license: apache-2.0
base_model: bert-base-cased
tags:
  - generated_from_trainer
model-index:
  - name: bert-base-cased-finetuned-health-qa
    results: []

bert-base-cased-finetuned-health-qa

This model is a fine-tuned version of bert-base-cased on an unknown 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: 0.001
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 32
total_train_batch_size: 1024
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: 15
mixed_precision_training: Native AMP

Framework versions

PEFT 0.13.2
Transformers 4.48.0.dev0
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0