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docs: remove rn backbones add effnetb7 #662

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Jan 19, 2023
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docs: remove rn backbones add effnetb7 #662

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75d78ac
docs: remove rn backbones add effnetb7
bwanglzu Jan 19, 2023
659d2a2
chore: add changelog
bwanglzu Jan 19, 2023
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4 changes: 4 additions & 0 deletions CHANGELOG.md
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Expand Up @@ -20,6 +20,10 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0

### Docs

- Remove ResNet backbone support for clip fine-tuning. ([#662](https://github.com/jina-ai/finetuner/pull/662))

- Add efficientnet b7 as a new image to image search backbone. ([#662](https://github.com/jina-ai/finetuner/pull/662))


## [0.7.0] - 2023-01-18

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14 changes: 1 addition & 13 deletions docs/walkthrough/choose-backbone.md
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Expand Up @@ -64,6 +64,7 @@ To get a list of supported models:
┡━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩
│ efficientnet_b0 │ image-to-image │ 1280 │ cnn │ EfficientNet B0 pre-trained on ImageNet │
│ efficientnet_b4 │ image-to-image │ 1792 │ cnn │ EfficientNet B4 pre-trained on ImageNet │
│ efficientnet_b7 │ image-to-image │ 2560 │ cnn │ EfficientNet B7 pre-trained on ImageNet │
│ resnet152 │ image-to-image │ 2048 │ cnn │ ResNet152 pre-trained on ImageNet │
│ resnet50 │ image-to-image │ 2048 │ cnn │ ResNet50 pre-trained on ImageNet │
└─────────────────┴────────────────┴────────────┴──────────────┴─────────────────────────────────────────┘
Expand All @@ -79,19 +80,6 @@ To get a list of supported models:
│ openai/clip-vit-base-patch32 │ text-to-image │ 512 │ transformer │ CLIP base model │
│ openai/clip-vit-large-patch14-336 │ text-to-image │ 768 │ transformer │ CLIP large model for 336x336 images │
│ openai/clip-vit-large-patch14 │ text-to-image │ 1024 │ transformer │ CLIP large model with patch size 14 │
│ RN101::openai │ text-to-image │ 512 │ transformer │ Open CLIP "RN101::openai" model │
│ RN101-quickgelu::openai │ text-to-image │ 512 │ transformer │ Open CLIP "RN101-quickgelu::openai" model │
│ RN101-quickgelu::yfcc15m │ text-to-image │ 512 │ transformer │ Open CLIP "RN101-quickgelu::yfcc15m" model │
│ RN101::yfcc15m │ text-to-image │ 512 │ transformer │ Open CLIP "RN101::yfcc15m" model │
│ RN50::cc12m │ text-to-image │ 1024 │ transformer │ Open CLIP "RN50::cc12m" model │
│ RN50::openai │ text-to-image │ 1024 │ transformer │ Open CLIP "RN50::openai" model │
│ RN50-quickgelu::cc12m │ text-to-image │ 1024 │ transformer │ Open CLIP "RN50-quickgelu::cc12m" model │
│ RN50-quickgelu::openai │ text-to-image │ 1024 │ transformer │ Open CLIP "RN50-quickgelu::openai" model │
│ RN50-quickgelu::yfcc15m │ text-to-image │ 1024 │ transformer │ Open CLIP "RN50-quickgelu::yfcc15m" model │
│ RN50x16::openai │ text-to-image │ 768 │ transformer │ Open CLIP "RN50x16::openai" model │
│ RN50x4::openai │ text-to-image │ 640 │ transformer │ Open CLIP "RN50x4::openai" model │
│ RN50x64::openai │ text-to-image │ 1024 │ transformer │ Open CLIP "RN50x64::openai" model │
│ RN50::yfcc15m │ text-to-image │ 1024 │ transformer │ Open CLIP "RN50::yfcc15m" model │
│ ViT-B-16::laion400m_e31 │ text-to-image │ 512 │ transformer │ Open CLIP "ViT-B-16::laion400m_e31" model │
│ ViT-B-16::laion400m_e32 │ text-to-image │ 512 │ transformer │ Open CLIP "ViT-B-16::laion400m_e32" model │
│ ViT-B-16::openai │ text-to-image │ 512 │ transformer │ Open CLIP "ViT-B-16::openai" model │
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