update model card README.md

README.md

@@ -1,3 +1,77 @@
 ---
-license: unknown
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- pokemon-classification
+metrics:
+- accuracy
+model-index:
+- name: platzi-vit-model-massimo
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: pokemon-classification
+      type: pokemon-classification
+      config: full
+      split: validation
+      args: full
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.08201438848920864
 ---
+
+<!-- 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. -->
+
+# platzi-vit-model-massimo
+
+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 pokemon-classification dataset.
+It achieves the following results on the evaluation set:
+- Loss: 7.8941
+- Accuracy: 0.0820
+
+## 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: 0.0002
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 2.9383        | 0.82  | 500  | 6.3834          | 0.0360   |
+| 0.3399        | 1.64  | 1000 | 7.1051          | 0.0755   |
+| 0.0749        | 2.46  | 1500 | 7.6120          | 0.0885   |
+| 0.0332        | 3.28  | 2000 | 7.8941          | 0.0820   |
+
+
+### Framework versions
+
+- Transformers 4.29.2
+- Pytorch 2.0.1+cu118
+- Datasets 2.12.0
+- Tokenizers 0.13.3