Model save
Browse files- README.md +6 -6
- all_results.json +11 -11
- eval_results.json +6 -6
- model.safetensors +1 -1
- runs/Dec15_01-32-57_d2a76fcee09b/events.out.tfevents.1702605739.d2a76fcee09b.2614.1 +3 -0
- runs/Dec15_02-04-11_d2a76fcee09b/events.out.tfevents.1702605859.d2a76fcee09b.2614.2 +3 -0
- runs/Dec15_02-05-08_d2a76fcee09b/events.out.tfevents.1702605914.d2a76fcee09b.2614.3 +3 -0
- runs/Dec15_02-05-55_d2a76fcee09b/events.out.tfevents.1702605960.d2a76fcee09b.2614.4 +3 -0
- runs/Dec15_02-13-52_d2a76fcee09b/events.out.tfevents.1702606438.d2a76fcee09b.2614.5 +3 -0
- train_results.json +6 -6
- trainer_state.json +2182 -553
- training_args.bin +1 -1
README.md
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.
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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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- Loss: 0.
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- Accuracy: 0.
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 0.0002
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- train_batch_size:
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- eval_batch_size: 8
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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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- 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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| 0.
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### Framework versions
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.9101851851851852
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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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- Loss: 0.5353
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- Accuracy: 0.9102
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 0.0002
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- train_batch_size: 48
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- eval_batch_size: 8
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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: 10
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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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| 0.0017 | 5.56 | 500 | 0.5353 | 0.9102 |
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### Framework versions
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all_results.json
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