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axis-inference-v0
julianz1/axis-inference-v0
axis-inference-v0 is a image classification model from julianz1. 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
- Jan 11, 2024
- Updated
- Jan 12, 2024
- SHA
- f530d8ae
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. -->
axis-inference-v0
This model is a fine-tuned version of facebook/convnextv2-tiny-1k-224 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7092
- Accuracy: 0.5243
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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 5.6101 | 0.94 | 12 | 0.9202 | 0.4701 |
| 0.8441 | 1.96 | 25 | 0.7214 | 0.5410 |
| 0.7249 | 2.98 | 38 | 0.7014 | 0.5131 |
| 0.6997 | 3.76 | 48 | 0.7092 | 0.5243 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
- Task
- Image Classification
- Library
- transformers
- Type
- convnextv2
- License
- apache-2.0
- Created
- Jan 11, 2024
- Updated
- Jan 12, 2024