gemma7b-gpt4o_1k_summarize-lora

chansung/gemma7b-gpt4o_1k_summarize-lora

gemma7b-gpt4o_1k_summarize-lora is a machine learning model from chansung. 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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Hugging Face

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At a glance

Library: peft
License: gemma
Model type: gemma
Access: Public
Created: Sep 23, 2024
Updated: Sep 24, 2024
SHA: 91508adc

Base models

google/gemma-7b

Datasets

llama-duo/synth_summarize_dataset_dedup

Model card

From the Hugging Face model README

gemma7b-gpt4o_1k_summarize-lora

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

Loss: 2.3456

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: 0.0003
train_batch_size: 1
eval_batch_size: 2
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 2
total_train_batch_size: 8
total_eval_batch_size: 8
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
0.8301	0.9997	1567	2.3456

Framework versions

PEFT 0.12.0
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.0
Tokenizers 0.19.1

Library: peft
Type: gemma
License: gemma
Created: Sep 23, 2024
Updated: Sep 24, 2024