End of training
Browse files- README.md +7 -27
- pytorch_model.bin +1 -1
- training_args.bin +1 -1
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: 0.3375
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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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- lr_scheduler_type: linear
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- num_epochs: 3
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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 | 1.9349 | 0.2812 |
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| No log | 2.0 | 80 | 1.6986 | 0.3187 |
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| No log | 3.0 | 120 | 1.6400 | 0.3125 |
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### Framework versions
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- Transformers 4.33.2
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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: 2.0915
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- eval_accuracy: 0.0938
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- eval_runtime: 10.0977
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- eval_samples_per_second: 15.845
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- eval_steps_per_second: 0.99
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- step: 0
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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 3
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### Framework versions
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- Transformers 4.33.2
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pytorch_model.bin
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training_args.bin
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