Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: google/vit-base-patch16-224-in21k
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: vit-tom-jerry-model
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: imagefolder
+      type: imagefolder
+      config: default
+      split: validation
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9810526315789474
+    - name: F1
+      type: f1
+      value: 0.9802102573360923
+    - name: Precision
+      type: precision
+      value: 0.9766839378238341
+    - name: Recall
+      type: recall
+      value: 0.9845360824742269
+---
+
+<!-- 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. -->
+
+# vit-tom-jerry-model
+
+This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0855
+- Accuracy: 0.9811
+- F1: 0.9802
+- Precision: 0.9767
+- Recall: 0.9845
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
+|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 0.0808        | 0.3597 | 100  | 0.1168          | 0.9705   | 0.9694 | 0.9646    | 0.9759 |
+| 0.212         | 0.7194 | 200  | 0.1209          | 0.9705   | 0.9691 | 0.9667    | 0.9719 |
+| 0.0008        | 1.0791 | 300  | 0.0403          | 0.9916   | 0.9911 | 0.9911    | 0.9911 |
+| 0.0041        | 1.4388 | 400  | 0.0464          | 0.9895   | 0.9889 | 0.9884    | 0.9894 |
+| 0.0004        | 1.7986 | 500  | 0.1313          | 0.9684   | 0.9671 | 0.9627    | 0.9732 |
+| 0.0005        | 2.1583 | 600  | 0.0855          | 0.9811   | 0.9802 | 0.9767    | 0.9845 |
+
+
+### Framework versions
+
+- Transformers 4.55.0
+- Pytorch 2.6.0+cu124
+- Datasets 4.0.0
+- Tokenizers 0.21.4

config.json

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+{
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "jerry",
+    "1": "tom"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "jerry": "0",
+    "tom": "1"
+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "vit",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "patch_size": 16,
+  "pooler_act": "tanh",
+  "pooler_output_size": 768,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.55.0"
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:f5cfbd24857b62f289b9793f02ad9a203c08a6c7cb627025407671e222c1c5ab
+size 343223968

preprocessor_config.json

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+{
+  "do_convert_rgb": null,
+  "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
+  }
+}

runs/Aug14_21-07-55_d6feb5af6e29/events.out.tfevents.1755205692.d6feb5af6e29.604.6

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+size 20831

training_args.bin

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