Model save

README.md

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+---
+license: apache-2.0
+base_model: google/vit-base-patch16-224-in21K
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: finetuned-cards-blackjack
+  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. -->
+
+# finetuned-cards-blackjack
+
+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:
+- Loss: 0.9121
+- Accuracy: 0.7710
+
+## 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: 4
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 3.1307        | 0.24  | 100  | 3.0180          | 0.2093   |
+| 2.7372        | 0.48  | 200  | 2.5301          | 0.2762   |
+| 2.4969        | 0.73  | 300  | 2.1760          | 0.3439   |
+| 2.1973        | 0.97  | 400  | 2.0103          | 0.3756   |
+| 1.8847        | 1.21  | 500  | 1.8402          | 0.4108   |
+| 1.746         | 1.45  | 600  | 1.7051          | 0.4803   |
+| 1.8698        | 1.69  | 700  | 1.5985          | 0.4889   |
+| 1.7261        | 1.94  | 800  | 1.4312          | 0.5840   |
+| 1.7385        | 2.18  | 900  | 1.3585          | 0.6286   |
+| 1.5873        | 2.42  | 1000 | 1.2374          | 0.6758   |
+| 1.4775        | 2.66  | 1100 | 1.1352          | 0.7024   |
+| 1.2697        | 2.91  | 1200 | 1.1044          | 0.7093   |
+| 1.2137        | 3.15  | 1300 | 1.0006          | 0.7616   |
+| 1.423         | 3.39  | 1400 | 0.9589          | 0.7744   |
+| 1.0098        | 3.63  | 1500 | 0.9360          | 0.7684   |
+| 1.1325        | 3.87  | 1600 | 0.9121          | 0.7710   |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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": "ace of clubs",
+    "1": "ace of diamonds",
+    "10": "five of hearts",
+    "11": "five of spades",
+    "12": "four of clubs",
+    "13": "four of diamonds",
+    "14": "four of hearts",
+    "15": "four of spades",
+    "16": "jack of clubs",
+    "17": "jack of diamonds",
+    "18": "jack of hearts",
+    "19": "jack of spades",
+    "2": "ace of hearts",
+    "20": "king of clubs",
+    "21": "king of diamonds",
+    "22": "king of hearts",
+    "23": "king of spades",
+    "24": "nine of clubs",
+    "25": "nine of diamonds",
+    "26": "nine of hearts",
+    "27": "nine of spades",
+    "28": "queen of clubs",
+    "29": "queen of diamonds",
+    "3": "ace of spades",
+    "30": "queen of hearts",
+    "31": "queen of spades",
+    "32": "seven of clubs",
+    "33": "seven of diamonds",
+    "34": "seven of hearts",
+    "35": "seven of spades",
+    "36": "six of clubs",
+    "37": "six of diamonds",
+    "38": "six of hearts",
+    "39": "six of spades",
+    "4": "eight of clubs",
+    "40": "ten of clubs",
+    "41": "ten of diamonds",
+    "42": "ten of hearts",
+    "43": "ten of spades",
+    "44": "three of clubs",
+    "45": "three of diamonds",
+    "46": "three of hearts",
+    "47": "three of spades",
+    "48": "two of clubs",
+    "49": "two of diamonds",
+    "5": "eight of diamonds",
+    "50": "two of hearts",
+    "51": "two of spades",
+    "6": "eight of hearts",
+    "7": "eight of spades",
+    "8": "five of clubs",
+    "9": "five of diamonds"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "ace of clubs": "0",
+    "ace of diamonds": "1",
+    "ace of hearts": "2",
+    "ace of spades": "3",
+    "eight of clubs": "4",
+    "eight of diamonds": "5",
+    "eight of hearts": "6",
+    "eight of spades": "7",
+    "five of clubs": "8",
+    "five of diamonds": "9",
+    "five of hearts": "10",
+    "five of spades": "11",
+    "four of clubs": "12",
+    "four of diamonds": "13",
+    "four of hearts": "14",
+    "four of spades": "15",
+    "jack of clubs": "16",
+    "jack of diamonds": "17",
+    "jack of hearts": "18",
+    "jack of spades": "19",
+    "king of clubs": "20",
+    "king of diamonds": "21",
+    "king of hearts": "22",
+    "king of spades": "23",
+    "nine of clubs": "24",
+    "nine of diamonds": "25",
+    "nine of hearts": "26",
+    "nine of spades": "27",
+    "queen of clubs": "28",
+    "queen of diamonds": "29",
+    "queen of hearts": "30",
+    "queen of spades": "31",
+    "seven of clubs": "32",
+    "seven of diamonds": "33",
+    "seven of hearts": "34",
+    "seven of spades": "35",
+    "six of clubs": "36",
+    "six of diamonds": "37",
+    "six of hearts": "38",
+    "six of spades": "39",
+    "ten of clubs": "40",
+    "ten of diamonds": "41",
+    "ten of hearts": "42",
+    "ten of spades": "43",
+    "three of clubs": "44",
+    "three of diamonds": "45",
+    "three of hearts": "46",
+    "three of spades": "47",
+    "two of clubs": "48",
+    "two of diamonds": "49",
+    "two of hearts": "50",
+    "two of spades": "51"
+  },
+  "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": "4.38.2"
+}

model.safetensors

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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": "ViTFeatureExtractor",
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": [
+    224,
+    224
+  ]
+}

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training_args.bin

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