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vit-base-beans

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Training in progress, epoch 1

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  1. README.md +0 -80
  2. all_results.json +0 -12
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README.md DELETED
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- ---
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- license: apache-2.0
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- tags:
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- - image-classification
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- - vision
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- - generated_from_trainer
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- datasets:
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- - beans
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- metrics:
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- - accuracy
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- model-index:
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- - name: vit-base-beans
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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: beans
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- type: beans
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- config: default
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- split: validation
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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: 0.9924812030075187
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- ---
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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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-
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- # vit-base-beans
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-
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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 beans dataset.
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- It achieves the following results on the evaluation set:
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- - Loss: 0.0689
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- - Accuracy: 0.9925
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-
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- ## Model description
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-
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- More information needed
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-
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- ## Intended uses & limitations
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-
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- More information needed
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-
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- ## Training and evaluation data
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-
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- More information needed
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-
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- ## Training procedure
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-
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- ### Training hyperparameters
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-
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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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-
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- ### Training results
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-
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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- |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 0.2977 | 1.0 | 130 | 0.2471 | 0.9549 |
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- | 0.1946 | 2.0 | 260 | 0.1635 | 0.9474 |
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- | 0.2001 | 3.0 | 390 | 0.1056 | 0.9699 |
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- | 0.0826 | 4.0 | 520 | 0.0874 | 0.9850 |
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- | 0.0827 | 5.0 | 650 | 0.0689 | 0.9925 |
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-
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-
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- ### Framework versions
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-
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- - Transformers 4.31.0.dev0
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- - Pytorch 1.8.2
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- - Datasets 2.12.0
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- - Tokenizers 0.13.3
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- {
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- "epoch": 5.0,
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- "eval_accuracy": 0.9924812030075187,
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- "eval_loss": 0.06893298774957657,
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- "eval_runtime": 1.5527,
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- "eval_samples_per_second": 85.66,
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- "eval_steps_per_second": 10.949,
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- "train_loss": 0.22661718891217159,
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- "train_runtime": 210.11,
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- "train_samples_per_second": 24.606,
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- "train_steps_per_second": 3.094
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- }
 
 
 
 
 
 
 
 
 
 
 
 
 
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  "patch_size": 14,
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  "problem_type": "single_label_classification",
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  }
 
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