Delete README.md

README.md

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----
-license: apache-2.0
-tags:
-- generated_from_keras_callback
-model-index:
-- name: akaashp15/my_food_classifier
-  results: []
-  datasets: 
-  - food101
----
-
-<!-- This model card has been generated automatically according to the information Keras had access to. You should
-probably proofread and complete it, then remove this comment. -->
-
-# akaashp15/my_food_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 an unknown dataset.
-It achieves the following results on the evaluation set:
-- Train Loss: 4.0979
-- Validation Loss: 4.1801
-- Train Accuracy: 0.725
-- Epoch: 2
-
-## 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:
-- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 20000, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
-- training_precision: float32
-
-### Training results
-
-| Train Loss | Validation Loss | Train Accuracy | Epoch |
-|:----------:|:---------------:|:--------------:|:-----:|
-| 4.5366     | 4.4671          | 0.3125         | 0     |
-| 4.3140     | 4.3302          | 0.5375         | 1     |
-| 4.0979     | 4.1801          | 0.725          | 2     |
-
-
-### Framework versions
-
-- Transformers 4.30.2
-- TensorFlow 2.13.0-rc2
-- Datasets 2.13.1
-- Tokenizers 0.13.3