WikiMIA_QA_256_0_10 / README.md
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wikimia_unlearned
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metadata
library_name: peft
tags:
  - generated_from_trainer
base_model: openlm-research/open_llama_7b
model-index:
  - name: WikiMIA_QA_256_0_10
    results: []

WikiMIA_QA_256_0_10

This model was trained from scratch 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: 4
  • eval_batch_size: 4
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 2
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 32
  • total_eval_batch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 26
  • training_steps: 267

Training results

Framework versions

  • PEFT 0.10.0
  • Transformers 4.41.0.dev0
  • Pytorch 2.2.1+cu121
  • Datasets 2.19.0
  • Tokenizers 0.19.1