End of training

README.md

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+---
+license: apache-2.0
+base_model: google/vit-base-patch16-224-in21k
+tags:
+- generated_from_keras_callback
+model-index:
+- name: CharlesBointon/item_classifier
+  results: []
+---
+
+<!-- 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. -->
+
+# CharlesBointon/item_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: 1.8946
+- Validation Loss: 1.9332
+- Train Accuracy: 0.375
+- Epoch: 4
+
+## 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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 480, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, '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 |
+|:----------:|:---------------:|:--------------:|:-----:|
+| 2.0880     | 2.0676          | 0.2083         | 0     |
+| 2.0370     | 2.0331          | 0.25           | 1     |
+| 1.9903     | 1.9986          | 0.2917         | 2     |
+| 1.9406     | 1.9644          | 0.2917         | 3     |
+| 1.8946     | 1.9332          | 0.375          | 4     |
+
+
+### Framework versions
+
+- Transformers 4.32.0.dev0
+- TensorFlow 2.9.1
+- Datasets 2.14.2
+- Tokenizers 0.12.1

config.json

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+{
+  "_name_or_path": "google/vit-base-patch16-224-in21k",
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "Dresses",
+    "1": "Pyjamas",
+    "2": "T-Shirts",
+    "3": "Swimsuits",
+    "4": "Trousers",
+    "5": "Shirts",
+    "6": "Shoes",
+    "7": "Socks"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Dresses": "0",
+    "Pyjamas": "1",
+    "Shirts": "5",
+    "Shoes": "6",
+    "Socks": "7",
+    "Swimsuits": "3",
+    "T-Shirts": "2",
+    "Trousers": "4"
+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "vit",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "patch_size": 16,
+  "qkv_bias": true,
+  "transformers_version": "4.32.0.dev0"
+}

preprocessor_config.json

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+{
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_processor_type": "ViTImageProcessor",
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 224,
+    "width": 224
+  }
+}

tf_model.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:505757c321219b10fe874c22559c560afaa16de3f09aee42b7654621f777294e
+size 343488288