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convnextv2_femto_food101
lakshyaM/convnextv2_femto_food101
convnextv2_femto_food101 is a image classification model from lakshyaM. 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
- convnextv2
- Access
- Public
- Created
- Mar 2, 2024
- Updated
- Mar 2, 2024
- SHA
- 9b3915e6
Base models
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. -->
convnextv2_femto_food101
This model is a fine-tuned version of facebook/convnextv2-femto-1k-224 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5759
- Accuracy: 0.8435
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.88 | 0.99 | 62 | 1.6014 | 0.661 |
| 0.9478 | 2.0 | 125 | 0.8978 | 0.7795 |
| 0.7794 | 2.99 | 187 | 0.7312 | 0.814 |
| 0.6316 | 4.0 | 250 | 0.6452 | 0.825 |
| 0.5729 | 4.99 | 312 | 0.6147 | 0.8355 |
| 0.5052 | 5.95 | 372 | 0.5759 | 0.8435 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.2.1
- Datasets 2.17.1
- Tokenizers 0.15.2
- Task
- Image Classification
- Library
- transformers
- Type
- convnextv2
- License
- apache-2.0
- Created
- Mar 2, 2024
- Updated
- Mar 2, 2024