metadata

license: mit
base_model: mustafaaljadery/gemma-2B-10M
tags:
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: Attack-techniques
    results: []

Attack-techniques

This model is a fine-tuned version of mustafaaljadery/gemma-2B-10M 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: 0.0002
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
num_epochs: 10

Training results

Framework versions

Transformers 4.40.2
Pytorch 2.1.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1