Model save
Browse files- README.md +79 -0
- pytorch_model.bin +1 -1
README.md
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---
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license: apache-2.0
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base_model: google/vit-large-patch16-224-in21k
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tags:
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- generated_from_trainer
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datasets:
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- imagefolder
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metrics:
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- accuracy
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model-index:
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- name: fashion-images-perspectives-vit-large-patch16-224-in21k-v3
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results:
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- task:
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name: Image Classification
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type: image-classification
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dataset:
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name: imagefolder
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type: imagefolder
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config: default
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split: train
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args: default
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.9356252884171666
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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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# fashion-images-perspectives-vit-large-patch16-224-in21k-v3
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This model is a fine-tuned version of [google/vit-large-patch16-224-in21k](https://huggingface.co/google/vit-large-patch16-224-in21k) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2444
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- Accuracy: 0.9356
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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: 2e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 1337
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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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- num_epochs: 5.0
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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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| 0.4353 | 1.0 | 3070 | 0.3395 | 0.8812 |
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| 0.3415 | 2.0 | 6140 | 0.2544 | 0.9192 |
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| 0.2689 | 3.0 | 9210 | 0.2419 | 0.9246 |
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| 0.2525 | 4.0 | 12280 | 0.2953 | 0.9192 |
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| 0.1977 | 5.0 | 15350 | 0.2444 | 0.9356 |
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### Framework versions
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- Transformers 4.33.0.dev0
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.5
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- Tokenizers 0.13.3
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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-
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size 1213397805
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version https://git-lfs.github.com/spec/v1
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size 1213397805
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