vit-base-beans / README.md
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Add verifyToken field to verify evaluation results are produced by Hugging Face's automatic model evaluator (#4)
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---
language: en
license: apache-2.0
tags:
- generated_from_trainer
- image-classification
datasets:
- beans
metrics:
- accuracy
widget:
- src: https://huggingface.co/nateraw/vit-base-beans/resolve/main/healthy.jpeg
example_title: Healthy
- src: https://huggingface.co/nateraw/vit-base-beans/resolve/main/angular_leaf_spot.jpeg
example_title: Angular Leaf Spot
- src: https://huggingface.co/nateraw/vit-base-beans/resolve/main/bean_rust.jpeg
example_title: Bean Rust
model-index:
- name: vit-base-beans
results:
- task:
type: image-classification
name: Image Classification
dataset:
name: beans
type: beans
args: default
metrics:
- type: accuracy
value: 0.9774436090225563
name: Accuracy
- task:
type: image-classification
name: Image Classification
dataset:
name: beans
type: beans
config: default
split: test
metrics:
- type: accuracy
value: 0.9453125
name: Accuracy
verified: true
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNzE4OTNkMmIwZDJhNmEzZGM2NzcxMWMyODhlM2NiM2FkY2Y2ZDdhNzUwMTdhMDdhNDg5NjA0MGNlYzYyYzY0NCIsInZlcnNpb24iOjF9.wwUmRnAJskyiz_MGOwaG5MkX_Q6is5ZqKIuCEo3i3QLCAwIEeZsodGALhm_DBE0P0BMUWCk8SJSvVTADJceQAA
- type: precision
value: 0.9453325082933705
name: Precision Macro
verified: true
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYjE4ODc1OTM2MGIwMTM4M2QzNGJjMDJiZjExNDY3NzUxZWYxOTY3MDk1YzkwZmNmMjc3YWYxYzQ5ZDlhMDBhNiIsInZlcnNpb24iOjF9.7K8IHLSDwCeyA7RdUaLRCrN2sQnXphP3unQnDmJCDg_xURbOMWn7IdufsV8q_qjcDVCy7OwsffnYL9xw8KOmCw
- type: precision
value: 0.9453125
name: Precision Micro
verified: true
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOTVkYjQ4NTUzYTM0ZGMwOThkOTBjZWQ3MTJlMzIyMDhlOWMwMjUzYTg1NDcwYTcyY2QzOGM0MzY3NDE1NzU0YSIsInZlcnNpb24iOjF9._HCFVMp2DxiLhgJWadBKwDIptnLxAdaok_yK2Qsl9kxTFoWid8Cg0HI6SYsIL1WmEXhW1SwePuJFRAzOPQedCA
- type: precision
value: 0.9452605321507761
name: Precision Weighted
verified: true
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMmU2ZWY0OGU2MDBjNjQ4NzE0NjFmYWI1NTVmZDRjNDRiNGI2ZWNkOTYzMmJhZjljYzkzZjRmZjJiYzRkNGY5NCIsInZlcnNpb24iOjF9.WWilSaL_XaubBI519uG0CtoAR5ASl1KVAzJEqfz4yUAn0AG5p6vRnky82f7cHHoFv9ZLhKjQs8HJPG5hqNV1CA
- type: recall
value: 0.945736434108527
name: Recall Macro
verified: true
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNTJhOTBkYzAwNzJlZWFiNzZkNDg1ZTU0YTY2ODRhODRmNzFiYTM0ODcxZmU3MjlkNzBlNjM1NTZjOWMyZjdlOSIsInZlcnNpb24iOjF9.7KPVpzAxAd_70p5jJMDxQm6dwEQ_Ln3xhPFx6IfamJ8u8qFAe9vFPuLddz8w4W3keCYAaxC-5Y13_jLHpRv_BA
- type: recall
value: 0.9453125
name: Recall Micro
verified: true
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiM2IwZmU0YmYyMDZjNGQ3MjBjNmU0NDEzNDY3ZjQ0Yjc4NmM1NWJhMThjY2Y5NTY0NzJkYTRlNGY1YmExOGQ4MyIsInZlcnNpb24iOjF9.f3ZBu_rNCViY3Uif9qBgDn5XhjfZ_qAlkCle1kANcOUmeAr6AiHn2IHe0XYC6XBfL64N-lK45LlYHX82bF-PAw
- type: recall
value: 0.9453125
name: Recall Weighted
verified: true
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZTdhMzQzY2E5ODJkZGM2NjI4MTliYzQyMzdhOTcwNGMwYmJmNjE2MTMyZTI1NmNkZTU1OGY2NGUyMTAwNTNjYiIsInZlcnNpb24iOjF9.EUo_jYaX8Xxo_DPtljm91_4cjDz2_Vvwb-aC9sQiokizxLi7ydSKGQyBn2rwSCEhdV3Bgoljkozru0zy5hPBCg
- 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
- type: loss
value: 0.26030588150024414
name: loss
verified: true
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMjBkNzFiNzIwYjMyMWNhYWM4MzIyMzc1MzNlNDcxZTg3ZDcxNGUxZDg0MTgzYThlMGVjNzI1NDlhYTJjZDJkZCIsInZlcnNpb24iOjF9.VWvtgfJd1-BoaXofW4MhVK6_1dkLHgXKirSRXsfBUdkMkhRymcAai7tku35tNfqDpUJpqJHN0s56x7FbNbxoBQ
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# vit-base-beans
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.
It achieves the following results on the evaluation set:
- Loss: 0.0942
- Accuracy: 0.9774
## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 1337
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.2809 | 1.0 | 130 | 0.2287 | 0.9699 |
| 0.1097 | 2.0 | 260 | 0.1676 | 0.9624 |
| 0.1027 | 3.0 | 390 | 0.0942 | 0.9774 |
| 0.0923 | 4.0 | 520 | 0.1104 | 0.9699 |
| 0.1726 | 5.0 | 650 | 0.1030 | 0.9699 |
### Framework versions
- Transformers 4.10.0.dev0
- Pytorch 1.9.0+cu102
- Datasets 1.11.1.dev0
- Tokenizers 0.10.3