microsoft-swinv2-small-patch4-window16-256-finetuned-xblockm

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microsoft-swinv2-small-patch4-window16-256-finetuned-xblockm

This model is a fine-tuned version of microsoft/swinv2-small-patch4-window16-256 on the howdyaendra/xblock-social-screenshots dataset. It achieves the following results on the evaluation set:

• Loss: 0.1252
• Roc Auc: 0.9535

Model description

This model is trained on several thousand screenshots reported to the XBlock 3rd-party Bluesky labeller service. It is intended to be used to label Bluesky posts that have screenshots from social media sites embedded in them. Please also see aendra-rininsland/xblock.

Intended uses & limitations

Screenshot moderation

Training and evaluation data

20% split of 1618 images

Training procedure

See notebook.

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 5e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 8

Training results

Framework versions

• Transformers 4.44.1
• Pytorch 2.2.2
• Datasets 3.0.1
• Tokenizers 0.19.1