Model save
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README.md
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---
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license: apache-2.0
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base_model: google/vit-base-patch16-224-in21k
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: Birds-Classification
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results: []
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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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# Birds-Classification
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This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.8765
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- Accuracy: 0.8071
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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: 64
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- eval_batch_size: 64
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 256
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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: 4
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- mixed_precision_training: Native AMP
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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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| 5.8901 | 1.0 | 262 | 5.3141 | 0.6955 |
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| 4.8417 | 2.0 | 525 | 4.4829 | 0.7828 |
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| 4.2091 | 3.0 | 787 | 4.0279 | 0.8035 |
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| 3.8777 | 3.99 | 1048 | 3.8765 | 0.8071 |
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### Framework versions
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- Transformers 4.38.2
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- Pytorch 2.1.2
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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runs/Mar19_05-01-46_662b27242ae4/events.out.tfevents.1710824507.662b27242ae4.34.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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size 38155
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