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--- |
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language: en |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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- image-classification |
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datasets: |
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- beans |
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metrics: |
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- accuracy |
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widget: |
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- src: https://huggingface.co/nateraw/vit-base-beans/resolve/main/healthy.jpeg |
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example_title: Healthy |
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- src: https://huggingface.co/nateraw/vit-base-beans/resolve/main/angular_leaf_spot.jpeg |
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example_title: Angular Leaf Spot |
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- src: https://huggingface.co/nateraw/vit-base-beans/resolve/main/bean_rust.jpeg |
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example_title: Bean Rust |
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model-index: |
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- name: vit-base-beans |
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results: |
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- task: |
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type: image-classification |
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name: Image Classification |
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dataset: |
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name: beans |
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type: beans |
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args: default |
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metrics: |
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- type: accuracy |
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value: 0.9774436090225563 |
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name: Accuracy |
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- task: |
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type: image-classification |
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name: Image Classification |
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dataset: |
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name: beans |
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type: beans |
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config: default |
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split: test |
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metrics: |
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- type: accuracy |
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value: 0.9453125 |
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name: Accuracy |
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verified: true |
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNzE4OTNkMmIwZDJhNmEzZGM2NzcxMWMyODhlM2NiM2FkY2Y2ZDdhNzUwMTdhMDdhNDg5NjA0MGNlYzYyYzY0NCIsInZlcnNpb24iOjF9.wwUmRnAJskyiz_MGOwaG5MkX_Q6is5ZqKIuCEo3i3QLCAwIEeZsodGALhm_DBE0P0BMUWCk8SJSvVTADJceQAA |
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- type: precision |
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value: 0.9453325082933705 |
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name: Precision Macro |
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verified: true |
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYjE4ODc1OTM2MGIwMTM4M2QzNGJjMDJiZjExNDY3NzUxZWYxOTY3MDk1YzkwZmNmMjc3YWYxYzQ5ZDlhMDBhNiIsInZlcnNpb24iOjF9.7K8IHLSDwCeyA7RdUaLRCrN2sQnXphP3unQnDmJCDg_xURbOMWn7IdufsV8q_qjcDVCy7OwsffnYL9xw8KOmCw |
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- type: precision |
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value: 0.9453125 |
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name: Precision Micro |
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verified: true |
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOTVkYjQ4NTUzYTM0ZGMwOThkOTBjZWQ3MTJlMzIyMDhlOWMwMjUzYTg1NDcwYTcyY2QzOGM0MzY3NDE1NzU0YSIsInZlcnNpb24iOjF9._HCFVMp2DxiLhgJWadBKwDIptnLxAdaok_yK2Qsl9kxTFoWid8Cg0HI6SYsIL1WmEXhW1SwePuJFRAzOPQedCA |
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- type: precision |
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value: 0.9452605321507761 |
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name: Precision Weighted |
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verified: true |
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMmU2ZWY0OGU2MDBjNjQ4NzE0NjFmYWI1NTVmZDRjNDRiNGI2ZWNkOTYzMmJhZjljYzkzZjRmZjJiYzRkNGY5NCIsInZlcnNpb24iOjF9.WWilSaL_XaubBI519uG0CtoAR5ASl1KVAzJEqfz4yUAn0AG5p6vRnky82f7cHHoFv9ZLhKjQs8HJPG5hqNV1CA |
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- type: recall |
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value: 0.945736434108527 |
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name: Recall Macro |
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verified: true |
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNTJhOTBkYzAwNzJlZWFiNzZkNDg1ZTU0YTY2ODRhODRmNzFiYTM0ODcxZmU3MjlkNzBlNjM1NTZjOWMyZjdlOSIsInZlcnNpb24iOjF9.7KPVpzAxAd_70p5jJMDxQm6dwEQ_Ln3xhPFx6IfamJ8u8qFAe9vFPuLddz8w4W3keCYAaxC-5Y13_jLHpRv_BA |
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- type: recall |
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value: 0.9453125 |
|
name: Recall Micro |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiM2IwZmU0YmYyMDZjNGQ3MjBjNmU0NDEzNDY3ZjQ0Yjc4NmM1NWJhMThjY2Y5NTY0NzJkYTRlNGY1YmExOGQ4MyIsInZlcnNpb24iOjF9.f3ZBu_rNCViY3Uif9qBgDn5XhjfZ_qAlkCle1kANcOUmeAr6AiHn2IHe0XYC6XBfL64N-lK45LlYHX82bF-PAw |
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- type: recall |
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value: 0.9453125 |
|
name: Recall Weighted |
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verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZTdhMzQzY2E5ODJkZGM2NjI4MTliYzQyMzdhOTcwNGMwYmJmNjE2MTMyZTI1NmNkZTU1OGY2NGUyMTAwNTNjYiIsInZlcnNpb24iOjF9.EUo_jYaX8Xxo_DPtljm91_4cjDz2_Vvwb-aC9sQiokizxLi7ydSKGQyBn2rwSCEhdV3Bgoljkozru0zy5hPBCg |
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- type: f1 |
|
value: 0.9451827242524917 |
|
name: F1 Macro |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNDUyYzcwOWU0OGJkNGQ4NjAzNmIwZTU2MWNjMmUwZmMyOTliMTBkOTM5MDRiYzkyOGI1YTQxMzU0ODMxM2E1YiIsInZlcnNpb24iOjF9.cA70lp192tqDNjDoXoYaDpN3oOH_FdD9UDCpwHfoZxUlT5bFikeeX6joaJc8Xq5PTHGg00UVSkCFwFfEFUuNBg |
|
- type: f1 |
|
value: 0.9453125 |
|
name: F1 Micro |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiY2Y3NzIxZGQyM2ZmNGI2ZDM4YjRkMzEzYzhiYTUyOGFlN2FhMjEyN2YzY2M3ZDFhOTc3MWExOWFlMWFiOTZjNyIsInZlcnNpb24iOjF9.ZIM35jCeGH8S38w-DLTPWRXWZIHY5lCw8W_TO4CIwNTceU2iAjrdZph4EbtXnmbJYJXVtbEWm5Up4-ltVEGGBQ |
|
- type: f1 |
|
value: 0.944936150332226 |
|
name: F1 Weighted |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMzFjZDhlNGE4N2ZhOWVmMzBjNzMxMWQxNGZiYjlkODhkNGU1YmY2YTQ2NzJmOTk4ZWY5MzUzNzI5NmMzOWVjYyIsInZlcnNpb24iOjF9.Uz0c_zd8SZKAF1B4Z9NN9_klaTUNwi9u0fIzkeVSE0ah12wIJVpTmy-uukS-0vvgpvQ3ogxEfgXi97vfBQcNAA |
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- type: loss |
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value: 0.26030588150024414 |
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name: loss |
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verified: true |
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMjBkNzFiNzIwYjMyMWNhYWM4MzIyMzc1MzNlNDcxZTg3ZDcxNGUxZDg0MTgzYThlMGVjNzI1NDlhYTJjZDJkZCIsInZlcnNpb24iOjF9.VWvtgfJd1-BoaXofW4MhVK6_1dkLHgXKirSRXsfBUdkMkhRymcAai7tku35tNfqDpUJpqJHN0s56x7FbNbxoBQ |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# vit-base-beans |
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This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the beans dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0942 |
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- Accuracy: 0.9774 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 1337 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 5.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.2809 | 1.0 | 130 | 0.2287 | 0.9699 | |
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| 0.1097 | 2.0 | 260 | 0.1676 | 0.9624 | |
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| 0.1027 | 3.0 | 390 | 0.0942 | 0.9774 | |
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| 0.0923 | 4.0 | 520 | 0.1104 | 0.9699 | |
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| 0.1726 | 5.0 | 650 | 0.1030 | 0.9699 | |
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### Framework versions |
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- Transformers 4.10.0.dev0 |
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- Pytorch 1.9.0+cu102 |
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- Datasets 1.11.1.dev0 |
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- Tokenizers 0.10.3 |
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