End of training

README.md

@@ -0,0 +1,65 @@
+---
+license: apache-2.0
+base_model: jonathanfernandes/vit-base-patch16-224-finetuned-flower
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: flower_classifier
+  results: []
+---
+
+<!-- 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. -->
+
+# flower_classifier
+
+This model is a fine-tuned version of [jonathanfernandes/vit-base-patch16-224-finetuned-flower](https://huggingface.co/jonathanfernandes/vit-base-patch16-224-finetuned-flower) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2238
+- Accuracy: 0.9878
+
+## 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: 5e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.0568        | 1.0   | 102  | 0.9734          | 0.9322   |
+| 0.3193        | 2.0   | 205  | 0.3169          | 0.9805   |
+| 0.1862        | 2.99  | 306  | 0.2250          | 0.9853   |
+
+
+### Framework versions
+
+- Transformers 4.33.3
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.13.3

config.json

@@ -0,0 +1,232 @@
+{
+  "_name_or_path": "jonathanfernandes/vit-base-patch16-224-finetuned-flower",
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "1",
+    "1": "10",
+    "10": "16",
+    "100": "98",
+    "101": "99",
+    "11": "17",
+    "12": "18",
+    "13": "19",
+    "14": "2",
+    "15": "20",
+    "16": "21",
+    "17": "22",
+    "18": "23",
+    "19": "24",
+    "2": "100",
+    "20": "25",
+    "21": "26",
+    "22": "27",
+    "23": "28",
+    "24": "29",
+    "25": "3",
+    "26": "30",
+    "27": "31",
+    "28": "32",
+    "29": "33",
+    "3": "101",
+    "30": "34",
+    "31": "35",
+    "32": "36",
+    "33": "37",
+    "34": "38",
+    "35": "39",
+    "36": "4",
+    "37": "40",
+    "38": "41",
+    "39": "42",
+    "4": "102",
+    "40": "43",
+    "41": "44",
+    "42": "45",
+    "43": "46",
+    "44": "47",
+    "45": "48",
+    "46": "49",
+    "47": "5",
+    "48": "50",
+    "49": "51",
+    "5": "11",
+    "50": "52",
+    "51": "53",
+    "52": "54",
+    "53": "55",
+    "54": "56",
+    "55": "57",
+    "56": "58",
+    "57": "59",
+    "58": "6",
+    "59": "60",
+    "6": "12",
+    "60": "61",
+    "61": "62",
+    "62": "63",
+    "63": "64",
+    "64": "65",
+    "65": "66",
+    "66": "67",
+    "67": "68",
+    "68": "69",
+    "69": "7",
+    "7": "13",
+    "70": "70",
+    "71": "71",
+    "72": "72",
+    "73": "73",
+    "74": "74",
+    "75": "75",
+    "76": "76",
+    "77": "77",
+    "78": "78",
+    "79": "79",
+    "8": "14",
+    "80": "8",
+    "81": "80",
+    "82": "81",
+    "83": "82",
+    "84": "83",
+    "85": "84",
+    "86": "85",
+    "87": "86",
+    "88": "87",
+    "89": "88",
+    "9": "15",
+    "90": "89",
+    "91": "9",
+    "92": "90",
+    "93": "91",
+    "94": "92",
+    "95": "93",
+    "96": "94",
+    "97": "95",
+    "98": "96",
+    "99": "97"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "1": "0",
+    "10": "1",
+    "100": "2",
+    "101": "3",
+    "102": "4",
+    "11": "5",
+    "12": "6",
+    "13": "7",
+    "14": "8",
+    "15": "9",
+    "16": "10",
+    "17": "11",
+    "18": "12",
+    "19": "13",
+    "2": "14",
+    "20": "15",
+    "21": "16",
+    "22": "17",
+    "23": "18",
+    "24": "19",
+    "25": "20",
+    "26": "21",
+    "27": "22",
+    "28": "23",
+    "29": "24",
+    "3": "25",
+    "30": "26",
+    "31": "27",
+    "32": "28",
+    "33": "29",
+    "34": "30",
+    "35": "31",
+    "36": "32",
+    "37": "33",
+    "38": "34",
+    "39": "35",
+    "4": "36",
+    "40": "37",
+    "41": "38",
+    "42": "39",
+    "43": "40",
+    "44": "41",
+    "45": "42",
+    "46": "43",
+    "47": "44",
+    "48": "45",
+    "49": "46",
+    "5": "47",
+    "50": "48",
+    "51": "49",
+    "52": "50",
+    "53": "51",
+    "54": "52",
+    "55": "53",
+    "56": "54",
+    "57": "55",
+    "58": "56",
+    "59": "57",
+    "6": "58",
+    "60": "59",
+    "61": "60",
+    "62": "61",
+    "63": "62",
+    "64": "63",
+    "65": "64",
+    "66": "65",
+    "67": "66",
+    "68": "67",
+    "69": "68",
+    "7": "69",
+    "70": "70",
+    "71": "71",
+    "72": "72",
+    "73": "73",
+    "74": "74",
+    "75": "75",
+    "76": "76",
+    "77": "77",
+    "78": "78",
+    "79": "79",
+    "8": "80",
+    "80": "81",
+    "81": "82",
+    "82": "83",
+    "83": "84",
+    "84": "85",
+    "85": "86",
+    "86": "87",
+    "87": "88",
+    "88": "89",
+    "89": "90",
+    "9": "91",
+    "90": "92",
+    "91": "93",
+    "92": "94",
+    "93": "95",
+    "94": "96",
+    "95": "97",
+    "96": "98",
+    "97": "99",
+    "98": "100",
+    "99": "101"
+  },
+  "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": "4.33.3"
+}

preprocessor_config.json

@@ -0,0 +1,22 @@
+{
+  "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
+  }
+}

pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cd4f3c1b945327647287e9772869a825b4b4791e969bc59e38dfc0ad43788e2c
+size 343576301

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4ab20c2ae385f0aaf07ebb89e9375ed7f2c417813b06f16b7ab9c8eef0fac869
+size 4027