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identify_stroke
tvganesh/identify_stroke
identify_stroke is a image classification model from tvganesh. Use it when you need a label for an image. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Image Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- vit
- Access
- Public
- Created
- Sep 25, 2023
- Updated
- Sep 27, 2023
- SHA
- 6996daaa
Base models
Datasets
Model card
From the Hugging Face model README
<!-- 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. -->
identify_stroke
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.1127
- Accuracy: 1.0
Model description
Model identifies cricket shot - front drive, hook shot or sweep shot
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 6
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 4 | 0.4345 | 1.0 |
| No log | 2.0 | 8 | 0.3883 | 1.0 |
| 0.3612 | 3.0 | 12 | 0.4099 | 0.8889 |
| 0.3612 | 4.0 | 16 | 0.2452 | 1.0 |
| 0.2934 | 5.0 | 20 | 0.1969 | 1.0 |
| 0.2934 | 6.0 | 24 | 0.1679 | 1.0 |
| 0.2934 | 7.0 | 28 | 0.1403 | 1.0 |
| 0.203 | 8.0 | 32 | 0.1530 | 1.0 |
| 0.203 | 9.0 | 36 | 0.1161 | 1.0 |
| 0.1505 | 10.0 | 40 | 0.1292 | 1.0 |
| 0.1505 | 11.0 | 44 | 0.1031 | 1.0 |
| 0.1505 | 12.0 | 48 | 0.1084 | 1.0 |
| 0.1388 | 13.0 | 52 | 0.1078 | 1.0 |
| 0.1388 | 14.0 | 56 | 0.0937 | 1.0 |
| 0.1076 | 15.0 | 60 | 0.1008 | 1.0 |
| 0.1076 | 16.0 | 64 | 0.1131 | 1.0 |
| 0.1076 | 17.0 | 68 | 0.1007 | 1.0 |
| 0.1047 | 18.0 | 72 | 0.1775 | 0.8889 |
| 0.1047 | 19.0 | 76 | 0.0844 | 1.0 |
| 0.0902 | 20.0 | 80 | 0.1127 | 1.0 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Sep 25, 2023
- Updated
- Sep 27, 2023