metadata

license: gemma
library_name: peft
tags:
  - alignment-handbook
  - trl
  - sft
  - generated_from_trainer
base_model: google/gemma-7b
datasets:
  - sayakpaul/no_robots_only_coding
model-index:
  - name: gemma-7b-sft-qlora-no-robots
    results: []

gemma-7b-sft-qlora-no-robots

This model is a fine-tuned version of google/gemma-7b on the sayakpaul/no_robots_only_coding dataset. It achieves the following results on the evaluation set:

Loss: 7.4575

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: 1

Training results

Training Loss	Epoch	Step	Validation Loss
17.0553	1.0	4	7.4575

Framework versions

PEFT 0.7.1
Transformers 4.39.0.dev0
Pytorch 2.2.2+cu121
Datasets 2.14.6
Tokenizers 0.15.2