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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- mnist |
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- autoevaluate/mnist-sample |
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metrics: |
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- accuracy |
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duplicated_from: autoevaluate/image-multi-class-classification |
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model-index: |
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- name: autoevaluate/image-multi-class-classification-not-evaluated |
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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: autoevaluate/mnist-sample |
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type: autoevaluate/mnist-sample |
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config: autoevaluate--mnist-sample |
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split: test |
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metrics: |
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- type: accuracy |
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value: 0.95 |
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name: Accuracy |
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verified: true |
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMWNiOGQ5MWMyNzQ3NzIwYTgzZWFmZWY4NWU0NTNmODU4ODJmMGVlYTQyMDUxOThiN2E5Mjk4NGI2NTA2ZWQxOCIsInZlcnNpb24iOjF9.dvK-v8T2KBk5eUO0wtlgSJoxpxbBa7-chKUJEWLZ9V1sInPlb0a5MfhFL6Kt5p87Ao7LBFYPwkXx-YSuKCiWCg |
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- type: f1 |
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value: 0.9496669557378175 |
|
name: F1 Macro |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMmQ3YzliMzhmNjAwNGNkNTY5NjI3ZDBiZjdiODAwYzMxYTI0OTk3MTViZWMxNjhiZmE4NTA1YzNlNDFkY2ZmYiIsInZlcnNpb24iOjF9.khN-ukrBaD6LCTCnWaOdBdND3h0GfrXzeRHfIIhllRyRAR1nrws-nQFA69AiXBTSouTGNDO3uUz_reIgaITyAw |
|
- type: f1 |
|
value: 0.9500000000000001 |
|
name: F1 Micro |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNmQ0ZDFhMDE4NzljZDdhYmU4YWYwYjlmOWVkMWMxZGE5Yzk5ZDUxYTJlZjEyYjlmMDZiYTgxMzllMjYyNTcxMCIsInZlcnNpb24iOjF9.TkNWWSykXCwcSG64lnqIfFnz8Rq2ZW-Pb1ENZTZ-rmwXJ2TLXdTbikFAIb5_Uu9kDH00X9lo96v1tvb5rI6EDw |
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- type: f1 |
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value: 0.9496869212452598 |
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name: F1 Weighted |
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verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZGJhMjY0OThlYjQxZmM5MTZjZGY1NzBmMGIxOGUxMjk5MDI5MDY0NDUwNzllMjQ2ZTc2YjAzODQwYjhhMTNmMCIsInZlcnNpb24iOjF9.Oh5pYqyTTgubIiLLuBeHByNOCmFTkYP-CQFwO6MkKM7ma2X9_LcopuBDHmQudboiwBmyrrlQ1dzJoNloMoh9AA |
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- type: precision |
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value: 0.9478535353535353 |
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name: Precision Macro |
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verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYzU2NTgzMDM5ZGNjMjY2YTEyM2MxNDc4MGExYmEyMzFhYjc1ZGI1OTU3ZmI5N2Q1NzIxNmM4YWM2YjA3MzJjYSIsInZlcnNpb24iOjF9.IkFI2xMoiYSuBrg4rI99d72CdCqbllBHLb2mkBxwFePS7QVa-iu5uioEUt5eLvLIh_WeC_H4PR8RX8EJpN06Cg |
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- type: precision |
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value: 0.95 |
|
name: Precision Micro |
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verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZWM1MGRjM2E3MjUyNzdlYjllYWE2YmU1YzQ1ODFiODM1NjNlNGIyNmYxNDI4MmQ4YWMwNmM2YzRkZjFkZTk4ZSIsInZlcnNpb24iOjF9.zjxLWQcGRwLW7m4yZOFgUCkOO81vUPuMqoqRicTdlgillZrI6lqHtDe5HS4lQl3L9NkvzqMKidG25QC2wH_jAg |
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- type: precision |
|
value: 0.9510353535353535 |
|
name: Precision Weighted |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZTY3ZGMzMzA4N2Y1NTM0NDBlYzZiNzNhZDBhNDhiNDJjMDg1NmU1OTEyOWRhOTEzYmY0OTNlYjEyYWNkMDhlMiIsInZlcnNpb24iOjF9.qlUvJj53M6miiYj_WRSzM4Dba8zT1ccBbZ7o__O_MZy3i2orc1Bug7A8Jl0xm2jYZ-t5DQtPbucZ6KOlcrF9Cg |
|
- type: recall |
|
value: 0.9530555555555555 |
|
name: Recall Macro |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiN2M3YzJkZGQ4ODIyZGM0NDgyYTE3NDc4MTVjNWM2MDQxNzU5ZTJjODUwNThlNzFiMGM2ZWRkZTAwOWQ3M2RlZSIsInZlcnNpb24iOjF9.KrFqzfPhl1XmsxgrRp37jje-bJf7P6FquIUW9FoZBUFjnqtL0QBxtzHVVOO5PtDP5E3SbvdixSyNfjcgeMhdBw |
|
- type: recall |
|
value: 0.95 |
|
name: Recall Micro |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNzc3NjI4ODQyZGJjMDZjMGQ1YTI0NTdjMTJkMmVjOGExNDEzZjYzNmEwNWU3ZDBlNGIyNDMyZTE3MTM0MGE1ZCIsInZlcnNpb24iOjF9.tw0oVqYRb7AGF5jQzDzj3rOx96-KbnbkbhmBv8cn6hlvFktSQtn-87bTK7esDn3oMLlrvxpiIxDAVrTivzpqBA |
|
- type: recall |
|
value: 0.95 |
|
name: Recall Weighted |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMmFjNjYyNmJmZjk0ZWZlZjZlODc0NDJjYjI1OTk0NTQ3NzdiOTY1ZmQ0MjVmODRjN2M5NzUyNGEwMWMwMTRlNSIsInZlcnNpb24iOjF9.qSk10iM348bjetzTla7MqbVcxyo5TpcIWoJR5N-HE5tiZ0mFwJ5RuL0YqSL_M_kgLdfb5TucnvoC_D6vDri8BA |
|
- type: loss |
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value: 0.12428419291973114 |
|
name: loss |
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verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMjZlMzk5NTEyN2E0N2VjOWUwNjg2NGU5ZDI0NDdlMWU1YzM0ZTAzZmQ0OWY3ZGJkMTJlNjM1ZmM2NzlhMWFkMiIsInZlcnNpb24iOjF9.WH9IyFFJbDxH-G788sFs3tMGLyVP5qky-x9PW9j7xE5qvdgwgoS1Kpy5tNtnP3ERdCWT3ZwdeXDIT4HoPZ4GBw |
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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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# image-classification |
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|
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This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the mnist dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0556 |
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- Accuracy: 0.9833 |
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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: 5e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 128 |
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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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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 1 |
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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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| 0.3743 | 1.0 | 422 | 0.0556 | 0.9833 | |
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### Framework versions |
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|
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- Transformers 4.20.0 |
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- Pytorch 1.11.0+cu113 |
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- Datasets 2.3.2 |
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- Tokenizers 0.12.1 |
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