gm-qlora-float16-idefics2-8b-midefics

gimarchetti/gm-qlora-float16-idefics2-8b-midefics

gm-qlora-float16-idefics2-8b-midefics is a machine learning model from gimarchetti. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.

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

Downloads · 30 days

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Public

Updated May 10, 2024

Repo size

380 MB

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Public

Hugging Face

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At a glance

License: apache-2.0
Access: Public
Created: May 9, 2024
Updated: May 10, 2024
SHA: 16bf7580

Base models

HuggingFaceM4/idefics2-8b

Model card

From the Hugging Face model README

gm-qlora-float16-idefics2-8b-midefics

This model is a fine-tuned version of HuggingFaceM4/idefics2-8b on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.6749

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: 0.0001
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 10
total_train_batch_size: 20
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss
1.4646	0.2	38	0.7746
0.7849	0.4	76	0.7351
0.797	0.6	114	0.7129
0.7429	0.8	152	0.6936
0.7361	1.0	190	0.6865
0.587	1.2	228	0.6933
0.5768	1.4	266	0.6863
0.5911	1.6	304	0.6815
0.5815	1.8	342	0.6772
0.5496	2.0	380	0.6749

Framework versions

Transformers 4.41.0.dev0
Pytorch 2.0.1
Datasets 2.19.1
Tokenizers 0.19.1

License: apache-2.0
Created: May 9, 2024
Updated: May 10, 2024