Model save

README.md

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+---
+license: apache-2.0
+base_model: google/vit-base-patch16-384
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: rmsProp_VitB-p16-384-2e-4-batch_16_epoch_4_classes_24
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: imagefolder
+      type: imagefolder
+      config: default
+      split: train
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.985632183908046
+---
+
+<!-- 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. -->
+
+# rmsProp_VitB-p16-384-2e-4-batch_16_epoch_4_classes_24
+
+This model is a fine-tuned version of [google/vit-base-patch16-384](https://huggingface.co/google/vit-base-patch16-384) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0544
+- Accuracy: 0.9856
+
+## 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: 16
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 2
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 3.0503        | 0.07  | 100  | 3.0273          | 0.0934   |
+| 2.2522        | 0.14  | 200  | 2.4833          | 0.2328   |
+| 1.5093        | 0.21  | 300  | 1.3361          | 0.5503   |
+| 1.0645        | 0.28  | 400  | 1.0976          | 0.6580   |
+| 0.5308        | 0.35  | 500  | 0.5680          | 0.8161   |
+| 0.3545        | 0.42  | 600  | 0.3870          | 0.8664   |
+| 0.2051        | 0.49  | 700  | 0.3348          | 0.9023   |
+| 0.2241        | 0.56  | 800  | 0.1545          | 0.9411   |
+| 0.2165        | 0.63  | 900  | 0.1722          | 0.9569   |
+| 0.1589        | 0.7   | 1000 | 0.1554          | 0.9497   |
+| 0.0647        | 0.77  | 1100 | 0.1400          | 0.9483   |
+| 0.1178        | 0.84  | 1200 | 0.2000          | 0.9411   |
+| 0.0518        | 0.91  | 1300 | 0.1856          | 0.9483   |
+| 0.0433        | 0.97  | 1400 | 0.1573          | 0.9468   |
+| 0.0228        | 1.04  | 1500 | 0.1156          | 0.9626   |
+| 0.1261        | 1.11  | 1600 | 0.0628          | 0.9727   |
+| 0.001         | 1.18  | 1700 | 0.0730          | 0.9770   |
+| 0.0515        | 1.25  | 1800 | 0.1589          | 0.9468   |
+| 0.0195        | 1.32  | 1900 | 0.1114          | 0.9641   |
+| 0.0696        | 1.39  | 2000 | 0.1507          | 0.9555   |
+| 0.0006        | 1.46  | 2100 | 0.0799          | 0.9741   |
+| 0.0063        | 1.53  | 2200 | 0.0979          | 0.9684   |
+| 0.0337        | 1.6   | 2300 | 0.1191          | 0.9598   |
+| 0.0261        | 1.67  | 2400 | 0.0839          | 0.9727   |
+| 0.001         | 1.74  | 2500 | 0.0911          | 0.9770   |
+| 0.001         | 1.81  | 2600 | 0.0726          | 0.9799   |
+| 0.0003        | 1.88  | 2700 | 0.0581          | 0.9842   |
+| 0.0004        | 1.95  | 2800 | 0.0544          | 0.9856   |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.1.2
+- Datasets 2.18.0
+- Tokenizers 0.15.2

config.json

@@ -0,0 +1,76 @@
+{
+  "_name_or_path": "google/vit-base-patch16-384",
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "Bhapa Pitha(\u09ad\u09be\u09aa\u09be \u09aa\u09bf\u09a0\u09be)",
+    "1": "Biriyani(\u09ac\u09bf\u09b0\u09bf\u09df\u09be\u09a8\u09bf)",
+    "10": "Khichuri(\u0996\u09bf\u099a\u09c1\u09a1\u09bc\u09bf)",
+    "11": "Malpua Pitha(\u09ae\u09be\u09b2\u09aa\u09c1\u09df\u09be \u09aa\u09bf\u09a0\u09be)",
+    "12": "Mustard Hilsa(\u09b8\u09b0\u09b7\u09c7 \u0987\u09b2\u09bf\u09b6)",
+    "13": "Nakshi Pitha(\u09a8\u0995\u09b6\u09bf \u09aa\u09bf\u09a0\u09be)",
+    "14": "Panta Ilish(\u09aa\u09be\u09a8\u09cd\u09a4\u09be \u0987\u09b2\u09bf\u09b6)",
+    "15": "Patishapta Pitha(\u09aa\u09be\u099f\u09bf\u09b8\u09be\u09aa\u099f\u09be)",
+    "16": "Prawn Malai Curry(\u099a\u09bf\u0982\u09dc\u09bf \u09ae\u09be\u09b2\u09be\u0987\u0995\u09be\u09b0\u09c0)",
+    "17": "Rasgulla(\u09b0\u09b8\u0997\u09cb\u09b2\u09cd\u09b2\u09be)",
+    "18": "Rose Cookies(\u09ab\u09c1\u09b2\u099d\u09c1\u09b0\u09bf \u09aa\u09bf\u09a0\u09be)",
+    "19": "Roshmalai(\u09b0\u09b8\u09ae\u09be\u09b2\u09be\u0987)",
+    "2": "Chicken Pulao(\u09ae\u09cb\u09b0\u0997 \u09aa\u09cb\u09b2\u09be\u0993)",
+    "20": "Shahi Tukra(\u09b6\u09be\u09b9\u09bf \u099f\u09c1\u0995\u09b0\u09be)",
+    "21": "Shingara(\u09b8\u09bf\u0999\u09cd\u0997\u09be\u09b0\u09be)",
+    "22": "Sweet Yogurt(\u09ae\u09bf\u09b7\u09cd\u099f\u09bf \u09a6\u0987)",
+    "23": "Tehari(\u09a4\u09c7\u09b9\u09be\u09b0\u09bf)",
+    "3": "Chickpease Bhuna(\u099b\u09cb\u09b2\u09be\u09ad\u09c1\u09a8\u09be)",
+    "4": "Egg Curry(\u09a1\u09bf\u09ae\u09ad\u09c1\u09a8\u09be)",
+    "5": "Falooda(\u09ab\u09be\u09b2\u09c1\u09a6\u09be)",
+    "6": "Fuchka(\u09ab\u09c1\u099a\u0995\u09be)",
+    "7": "Haleem(\u09b9\u09be\u09b2\u09bf\u09ae)",
+    "8": "Jalebi(\u099c\u09bf\u09b2\u09be\u09aa\u09c0)",
+    "9": "Kala Bhuna(\u0995\u09be\u09b2\u09be \u09ad\u09c1\u09a8\u09be)"
+  },
+  "image_size": 384,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Bhapa Pitha(\u09ad\u09be\u09aa\u09be \u09aa\u09bf\u09a0\u09be)": "0",
+    "Biriyani(\u09ac\u09bf\u09b0\u09bf\u09df\u09be\u09a8\u09bf)": "1",
+    "Chicken Pulao(\u09ae\u09cb\u09b0\u0997 \u09aa\u09cb\u09b2\u09be\u0993)": "2",
+    "Chickpease Bhuna(\u099b\u09cb\u09b2\u09be\u09ad\u09c1\u09a8\u09be)": "3",
+    "Egg Curry(\u09a1\u09bf\u09ae\u09ad\u09c1\u09a8\u09be)": "4",
+    "Falooda(\u09ab\u09be\u09b2\u09c1\u09a6\u09be)": "5",
+    "Fuchka(\u09ab\u09c1\u099a\u0995\u09be)": "6",
+    "Haleem(\u09b9\u09be\u09b2\u09bf\u09ae)": "7",
+    "Jalebi(\u099c\u09bf\u09b2\u09be\u09aa\u09c0)": "8",
+    "Kala Bhuna(\u0995\u09be\u09b2\u09be \u09ad\u09c1\u09a8\u09be)": "9",
+    "Khichuri(\u0996\u09bf\u099a\u09c1\u09a1\u09bc\u09bf)": "10",
+    "Malpua Pitha(\u09ae\u09be\u09b2\u09aa\u09c1\u09df\u09be \u09aa\u09bf\u09a0\u09be)": "11",
+    "Mustard Hilsa(\u09b8\u09b0\u09b7\u09c7 \u0987\u09b2\u09bf\u09b6)": "12",
+    "Nakshi Pitha(\u09a8\u0995\u09b6\u09bf \u09aa\u09bf\u09a0\u09be)": "13",
+    "Panta Ilish(\u09aa\u09be\u09a8\u09cd\u09a4\u09be \u0987\u09b2\u09bf\u09b6)": "14",
+    "Patishapta Pitha(\u09aa\u09be\u099f\u09bf\u09b8\u09be\u09aa\u099f\u09be)": "15",
+    "Prawn Malai Curry(\u099a\u09bf\u0982\u09dc\u09bf \u09ae\u09be\u09b2\u09be\u0987\u0995\u09be\u09b0\u09c0)": "16",
+    "Rasgulla(\u09b0\u09b8\u0997\u09cb\u09b2\u09cd\u09b2\u09be)": "17",
+    "Rose Cookies(\u09ab\u09c1\u09b2\u099d\u09c1\u09b0\u09bf \u09aa\u09bf\u09a0\u09be)": "18",
+    "Roshmalai(\u09b0\u09b8\u09ae\u09be\u09b2\u09be\u0987)": "19",
+    "Shahi Tukra(\u09b6\u09be\u09b9\u09bf \u099f\u09c1\u0995\u09b0\u09be)": "20",
+    "Shingara(\u09b8\u09bf\u0999\u09cd\u0997\u09be\u09b0\u09be)": "21",
+    "Sweet Yogurt(\u09ae\u09bf\u09b7\u09cd\u099f\u09bf \u09a6\u0987)": "22",
+    "Tehari(\u09a4\u09c7\u09b9\u09be\u09b0\u09bf)": "23"
+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "vit",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "patch_size": 16,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.39.3"
+}

model.safetensors

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+size 344459008

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": "ViTFeatureExtractor",
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 384,
+    "width": 384
+  }
+}

runs/May15_18-56-27_52604488c670/events.out.tfevents.1715800519.52604488c670.34.4

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+size 78182

training_args.bin

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