End of training

README.md

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+---
+license: apache-2.0
+base_model: google/vit-base-patch16-224
+tags:
+- generated_from_trainer
+datasets:
+- beans
+metrics:
+- accuracy
+model-index:
+- name: plant_disease_detection-beans
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: beans
+      type: beans
+      config: default
+      split: validation
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9849624060150376
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# plant_disease_detection-beans
+
+This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the beans dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0711
+- Accuracy: 0.9850
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.2
+- num_epochs: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.0983        | 0.98  | 16   | 0.8079          | 0.7143   |
+| 0.5524        | 1.97  | 32   | 0.2697          | 0.9624   |
+| 0.2699        | 2.95  | 48   | 0.0926          | 0.9549   |
+| 0.0991        | 4.0   | 65   | 0.0551          | 0.9774   |
+| 0.0722        | 4.98  | 81   | 0.0435          | 0.9925   |
+| 0.0584        | 5.97  | 97   | 0.0328          | 0.9850   |
+| 0.0451        | 6.95  | 113  | 0.0478          | 0.9774   |
+| 0.0321        | 8.0   | 130  | 0.0532          | 0.9925   |
+| 0.0298        | 8.98  | 146  | 0.0802          | 0.9774   |
+| 0.0516        | 9.97  | 162  | 0.0391          | 0.9774   |
+| 0.0396        | 10.95 | 178  | 0.0720          | 0.9774   |
+| 0.0358        | 12.0  | 195  | 0.0540          | 0.9850   |
+| 0.027         | 12.98 | 211  | 0.0467          | 0.9774   |
+| 0.0236        | 13.97 | 227  | 0.0184          | 0.9925   |
+| 0.0272        | 14.95 | 243  | 0.0255          | 0.9925   |
+| 0.0182        | 16.0  | 260  | 0.0354          | 0.9850   |
+| 0.0504        | 16.98 | 276  | 0.0039          | 1.0      |
+| 0.0283        | 17.97 | 292  | 0.0199          | 1.0      |
+| 0.0241        | 18.95 | 308  | 0.0250          | 0.9925   |
+| 0.0268        | 19.69 | 320  | 0.0711          | 0.9850   |
+
+
+### Framework versions
+
+- Transformers 4.36.0.dev0
+- Pytorch 2.0.1+cu117
+- Datasets 2.14.5
+- Tokenizers 0.15.0

emissions.csv

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