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: testing_google_bert_peft_for_logs
    results: []

testing_google_bert_peft_for_logs

This model is a fine-tuned version of google-bert/bert-base-uncased 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: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.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: 10
mixed_precision_training: Native AMP

Training results

Framework versions

PEFT 0.16.0
Transformers 4.54.0
Pytorch 2.6.0+cu124
Datasets 4.0.0
Tokenizers 0.21.2