theofilusarifin
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End of training
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README.md
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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: image_classification
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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: 0.36875
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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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This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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## Model description
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- seed: 42
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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:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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| No log | 1.0 | 40 | 1.8864 | 0.225 |
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| No log | 2.0 | 80 | 1.6548 | 0.3125 |
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| No log | 3.0 | 120 | 1.5627 | 0.4188 |
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| No log | 4.0 | 160 | 1.5115 | 0.4125 |
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| No log | 5.0 | 200 | 1.4971 | 0.3875 |
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### Framework versions
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- generated_from_trainer
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datasets:
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- imagefolder
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model-index:
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- name: image_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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This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 1.3813
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- eval_accuracy: 0.5312
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- eval_runtime: 179.1366
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- eval_samples_per_second: 0.893
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- eval_steps_per_second: 0.056
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- epoch: 9.43
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- step: 377
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## Model description
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- seed: 42
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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: 40
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### Framework versions
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model.safetensors
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