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: fanaf91318/image-classifier-78-10-epoch-clean
+  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. -->
+
+# fanaf91318/image-classifier-78-10-epoch-clean
+
+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: 0.7377
+- Validation Loss: 1.1864
+- Train Accuracy: 0.7046
+- Epoch: 9
+
+## 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': 0.0001, 'decay_steps': 59000, '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 |
+|:----------:|:---------------:|:--------------:|:-----:|
+| 3.7894     | 3.2415          | 0.3476         | 0     |
+| 2.9188     | 2.5308          | 0.4824         | 1     |
+| 2.2939     | 2.0642          | 0.5501         | 2     |
+| 1.8570     | 1.7353          | 0.5962         | 3     |
+| 1.5300     | 1.5211          | 0.6369         | 4     |
+| 1.2610     | 1.4143          | 0.6612         | 5     |
+| 1.0738     | 1.2610          | 0.6965         | 6     |
+| 0.9197     | 1.2404          | 0.6897         | 7     |
+| 0.8280     | 1.2069          | 0.6985         | 8     |
+| 0.7377     | 1.1864          | 0.7046         | 9     |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- TensorFlow 2.15.0
+- Datasets 2.19.2
+- Tokenizers 0.19.1

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": "avtomobil aksessuarlari",
+    "1": "avtomobil yuvishvositalari",
+    "10": "elektr generatorlari",
+    "11": "elektr pol yuvgich va elektr supurgi",
+    "12": "elektrasboblar",
+    "13": "epilyatorlar",
+    "14": "fleshxotira",
+    "15": "gadjetlar",
+    "16": "havo tozalagichlar",
+    "17": "hub elektr uzaytirgich",
+    "18": "iplarni tozalash vositasi",
+    "19": "isitgich",
+    "2": "bosimli yuvish mashinalari",
+    "20": "katta oshxona anjomlari",
+    "21": "kichik uskunalar",
+    "22": "kiryuvishmashinalari",
+    "23": "klaviatura va sichqoncha",
+    "24": "kompyuter aksessuarlari",
+    "25": "kompyuter kalonkalari",
+    "26": "konditsionerlar",
+    "27": "massajorlar",
+    "28": "monitorlar",
+    "29": "monobloklar",
+    "3": "bug' generatorlari",
+    "30": "multistaylerlar",
+    "31": "musiqiy markazlar",
+    "32": "namlagichlar",
+    "33": "noutbuk sumkalari",
+    "34": "noutbuklar",
+    "35": "o'rnatiladigan maishiy texnika",
+    "36": "ofis monitorlari",
+    "37": "ofis noutbuklari",
+    "38": "ovqat pishirish uchun",
+    "39": "planshetlar",
+    "4": "bug' tizimlari",
+    "40": "printerlar va ko'p funksiyali qurilmalar",
+    "41": "qalamlar",
+    "42": "radar detektorlar",
+    "43": "relevastabilizatorlar",
+    "44": "robot changyutgichlar",
+    "45": "sboblar",
+    "46": "simsiz asboblar",
+    "47": "simsiz bug'mashinasi",
+    "48": "simsiz changyutgich",
+    "49": "simsiz kolonkalar",
+    "5": "bug' tozalagichlari",
+    "50": "smartfonlar",
+    "51": "sochkesgich",
+    "52": "sochqisqichlari",
+    "53": "sochquritgichlari",
+    "54": "sochtekislovchi dazmollar",
+    "55": "soundbarlar",
+    "56": "stol uchun idishlar",
+    "57": "suv sovutgichilar",
+    "58": "suvisitgichlar",
+    "59": "tarozilar",
+    "6": "changyutgichlar",
+    "60": "tashqi qattiqdisklar",
+    "61": "telefon aksessuarlari",
+    "62": "telefonlar",
+    "63": "televizor aksessuarlar",
+    "64": "televizorlar",
+    "65": "tikuvmashinalari",
+    "66": "tishcho'tkalari",
+    "67": "trimmerlar",
+    "68": "tv va kinoga obuna",
+    "69": "uykinoteatrlari",
+    "7": "chimo'rgich",
+    "70": "ventilyatorlar",
+    "71": "vertikal bug'mashinasi",
+    "72": "videoregistratorlar",
+    "73": "wi-firouterlar",
+    "74": "yandeks",
+    "75": "yordamchi idishlar",
+    "76": "yuqori bosimli yuvish aksessuarlari",
+    "8": "dazmol",
+    "9": "dispenserlar"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "avtomobil aksessuarlari": "0",
+    "avtomobil yuvishvositalari": "1",
+    "bosimli yuvish mashinalari": "2",
+    "bug' generatorlari": "3",
+    "bug' tizimlari": "4",
+    "bug' tozalagichlari": "5",
+    "changyutgichlar": "6",
+    "chimo'rgich": "7",
+    "dazmol": "8",
+    "dispenserlar": "9",
+    "elektr generatorlari": "10",
+    "elektr pol yuvgich va elektr supurgi": "11",
+    "elektrasboblar": "12",
+    "epilyatorlar": "13",
+    "fleshxotira": "14",
+    "gadjetlar": "15",
+    "havo tozalagichlar": "16",
+    "hub elektr uzaytirgich": "17",
+    "iplarni tozalash vositasi": "18",
+    "isitgich": "19",
+    "katta oshxona anjomlari": "20",
+    "kichik uskunalar": "21",
+    "kiryuvishmashinalari": "22",
+    "klaviatura va sichqoncha": "23",
+    "kompyuter aksessuarlari": "24",
+    "kompyuter kalonkalari": "25",
+    "konditsionerlar": "26",
+    "massajorlar": "27",
+    "monitorlar": "28",
+    "monobloklar": "29",
+    "multistaylerlar": "30",
+    "musiqiy markazlar": "31",
+    "namlagichlar": "32",
+    "noutbuk sumkalari": "33",
+    "noutbuklar": "34",
+    "o'rnatiladigan maishiy texnika": "35",
+    "ofis monitorlari": "36",
+    "ofis noutbuklari": "37",
+    "ovqat pishirish uchun": "38",
+    "planshetlar": "39",
+    "printerlar va ko'p funksiyali qurilmalar": "40",
+    "qalamlar": "41",
+    "radar detektorlar": "42",
+    "relevastabilizatorlar": "43",
+    "robot changyutgichlar": "44",
+    "sboblar": "45",
+    "simsiz asboblar": "46",
+    "simsiz bug'mashinasi": "47",
+    "simsiz changyutgich": "48",
+    "simsiz kolonkalar": "49",
+    "smartfonlar": "50",
+    "sochkesgich": "51",
+    "sochqisqichlari": "52",
+    "sochquritgichlari": "53",
+    "sochtekislovchi dazmollar": "54",
+    "soundbarlar": "55",
+    "stol uchun idishlar": "56",
+    "suv sovutgichilar": "57",
+    "suvisitgichlar": "58",
+    "tarozilar": "59",
+    "tashqi qattiqdisklar": "60",
+    "telefon aksessuarlari": "61",
+    "telefonlar": "62",
+    "televizor aksessuarlar": "63",
+    "televizorlar": "64",
+    "tikuvmashinalari": "65",
+    "tishcho'tkalari": "66",
+    "trimmerlar": "67",
+    "tv va kinoga obuna": "68",
+    "uykinoteatrlari": "69",
+    "ventilyatorlar": "70",
+    "vertikal bug'mashinasi": "71",
+    "videoregistratorlar": "72",
+    "wi-firouterlar": "73",
+    "yandeks": "74",
+    "yordamchi idishlar": "75",
+    "yuqori bosimli yuvish aksessuarlari": "76"
+  },
+  "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": "4.41.2"
+}

preprocessor_config.json

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+{
+  "_valid_processor_keys": [
+    "images",
+    "do_resize",
+    "size",
+    "resample",
+    "do_rescale",
+    "rescale_factor",
+    "do_normalize",
+    "image_mean",
+    "image_std",
+    "return_tensors",
+    "data_format",
+    "input_data_format"
+  ],
+  "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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+oid sha256:9249eafaca89b2d952e6b2c69866b27bd48071913418ae533135bef13fbbed3a
+size 343716536