metadata

base_model: google/gemma-2-2b-it
datasets:
  - generator
library_name: peft
license: gemma
tags:
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: gemma-2-2b-it-lora-magicoder
    results: []

gemma-2-2b-it-lora-magicoder

This model is a fine-tuned version of google/gemma-2-2b-it on the alvarobartt/Magicoder-OAI 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: 4
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 2
total_train_batch_size: 16
total_eval_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3

Training results

Framework versions

PEFT 0.12.0
Transformers 4.44.2
Pytorch 2.3.0+cu121
Datasets 3.0.0
Tokenizers 0.19.1