README.md

metadata

license: gemma
library_name: peft
tags:
  - trl
  - sft
  - generated_from_trainer
base_model: google/gemma-1.1-2b-it
model-index:
  - name: gemma-1.1-7b-it-code2instruct
    results: []

gemma-1.1-7b-it-code2instruct

This model is a fine-tuned version of google/gemma-1.1-2b-it on the None 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
• gradient_accumulation_steps: 2
• total_train_batch_size: 8
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• training_steps: 4000
• mixed_precision_training: Native AMP

Training results

Framework versions

• PEFT 0.10.0
• Transformers 4.39.3
• Pytorch 2.1.2
• Datasets 2.16.1
• Tokenizers 0.15.2