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

r4victor/gemma-7b-sft-qlora-no-robots

gemma-7b-sft-qlora-no-robots is a machine learning model from r4victor. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as gemma.

should probably proofread and complete it, then remove this comment. --

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Repo size

118 MB

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Hugging Face

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At a glance

Library: peft
License: gemma
Model type: gemma
Access: Public
Created: Apr 10, 2024
Updated: Apr 10, 2024
SHA: 2e39c8c3

Base models

google/gemma-7b

Datasets

sayakpaul/no_robots_only_coding

Model card

From the Hugging Face model README

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

Library: peft
Type: gemma
License: gemma
Created: Apr 10, 2024
Updated: Apr 10, 2024