End of training

README.md

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+---
+license: apache-2.0
+base_model: google/vit-base-patch16-224-in21k
+tags:
+- generated_from_trainer
+datasets:
+- bird_species_dataset
+metrics:
+- accuracy
+model-index:
+- name: bird_species_classifier
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: bird_species_dataset
+      type: bird_species_dataset
+      config: bird_species_dataset
+      split: train
+      args: bird_species_dataset
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.8051042712825663
+---
+
+<!-- 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. -->
+
+# bird_species_classifier
+
+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 bird_species_dataset dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.0432
+- Accuracy: 0.8051
+
+## 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-06
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 5.7612        | 1.0   | 4232  | 5.6983          | 0.6094   |
+| 5.2463        | 2.0   | 8464  | 5.1675          | 0.7284   |
+| 4.718         | 3.0   | 12696 | 4.7034          | 0.7526   |
+| 4.3011        | 4.0   | 16928 | 4.2762          | 0.7740   |
+| 3.9042        | 5.0   | 21160 | 3.9123          | 0.7867   |
+| 3.5981        | 6.0   | 25392 | 3.6050          | 0.7936   |
+| 3.328         | 7.0   | 29624 | 3.3598          | 0.8015   |
+| 3.164         | 8.0   | 33856 | 3.1819          | 0.8053   |
+| 3.0241        | 9.0   | 38088 | 3.0878          | 0.8052   |
+| 2.9784        | 10.0  | 42320 | 3.0420          | 0.8095   |
+
+
+### Framework versions
+
+- Transformers 4.38.1
+- Pytorch 2.1.2
+- Datasets 2.1.0
+- Tokenizers 0.15.2

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