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hug-mono/peft-BERT-qlora-text_checkworthy
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metadata
library_name: peft
license: apache-2.0
base_model: google-bert/bert-base-uncased
tags:
  - base_model:adapter:google-bert/bert-base-uncased
  - lora
  - transformers
model-index:
  - name: checkworthy-binary-classification-training-1755585731
    results: []

checkworthy-binary-classification-training-1755585731

This model is a fine-tuned version of google-bert/bert-base-uncased 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: 2.1106713456200193e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 16
  • optimizer: Use OptimizerNames.PAGED_ADAMW with betas=(0.9348819720458172,0.9285998615546803) and epsilon=1.9972958061508847e-07 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: polynomial
  • lr_scheduler_warmup_ratio: 0.12890328790683203
  • lr_scheduler_warmup_steps: 488
  • num_epochs: 40

Training results

Framework versions

  • PEFT 0.17.0
  • Transformers 4.55.2
  • Pytorch 2.6.0+cu124
  • Datasets 4.0.0
  • Tokenizers 0.21.4