End of training

README.md

@@ -1,3 +1,86 @@
 ---
 license: apache-2.0
+base_model: google/vit-base-patch16-224-in21k
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- f1
+model-index:
+- name: Pokemon-classification-1stGen-DataAug
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: imagefolder
+      type: imagefolder
+      config: default
+      split: train
+      args: default
+    metrics:
+    - name: F1
+      type: f1
+      value: 0.8973152881701102
 ---
+
+<!-- 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. -->
+
+# Pokemon-classification-1stGen-DataAug
+
+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.
+It achieves the following results on the evaluation set:
+- Loss: 0.4623
+- F1: 0.8973
+
+## 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: 6.56462271373806e-05
+- train_batch_size: 4
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 9
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 4.525         | 1.0   | 527  | 3.6420          | 0.4635 |
+| 2.6921        | 2.0   | 1055 | 2.0075          | 0.6360 |
+| 1.4828        | 3.0   | 1582 | 1.2151          | 0.7582 |
+| 0.9262        | 4.0   | 2110 | 0.8820          | 0.8297 |
+| 0.6285        | 5.0   | 2637 | 0.6866          | 0.8734 |
+| 0.4634        | 6.0   | 3165 | 0.5699          | 0.8854 |
+| 0.3683        | 7.0   | 3692 | 0.5223          | 0.8913 |
+| 0.3268        | 8.0   | 4220 | 0.4702          | 0.8967 |
+| 0.2839        | 8.99  | 4743 | 0.4623          | 0.8973 |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.2.0.dev20231126+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

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