metadata

library_name: peft
tags:
  - generated_from_trainer
base_model: openlm-research/open_llama_7b
model-index:
  - name: grad_ascent_2e-05_WikiMIA_QA_256_50
    results: []

grad_ascent_2e-05_WikiMIA_QA_256_50

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: 1337

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