End of training

README.md

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+---
+license: apache-2.0
+base_model: google/vit-base-patch16-224-in21k
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: computer_parts_classifier-model
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: imagefolder
+      type: imagefolder
+      config: default
+      split: train[:722]
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.8137931034482758
+---
+
+<!-- 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. -->
+
+# computer_parts_classifier-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: 0.5117
+- Accuracy: 0.8138
+
+## 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: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 0.97  | 9    | 1.0525          | 0.5517   |
+| 1.0645        | 1.95  | 18   | 0.9405          | 0.6      |
+| 0.9405        | 2.92  | 27   | 0.7902          | 0.7034   |
+| 0.7669        | 4.0   | 37   | 0.6923          | 0.7379   |
+| 0.6008        | 4.97  | 46   | 0.6152          | 0.7862   |
+| 0.5142        | 5.95  | 55   | 0.5639          | 0.7931   |
+| 0.394         | 6.92  | 64   | 0.5640          | 0.8      |
+| 0.3649        | 8.0   | 74   | 0.5181          | 0.7862   |
+| 0.279         | 8.97  | 83   | 0.5094          | 0.8345   |
+| 0.2549        | 9.95  | 92   | 0.4882          | 0.8276   |
+| 0.1925        | 10.92 | 101  | 0.5041          | 0.8      |
+| 0.2185        | 12.0  | 111  | 0.5195          | 0.8138   |
+| 0.1921        | 12.97 | 120  | 0.5170          | 0.8      |
+| 0.1921        | 13.95 | 129  | 0.5846          | 0.7793   |
+| 0.15          | 14.92 | 138  | 0.5217          | 0.8207   |
+| 0.1798        | 16.0  | 148  | 0.5421          | 0.7862   |
+| 0.1729        | 16.97 | 157  | 0.5516          | 0.8207   |
+| 0.1459        | 17.95 | 166  | 0.5438          | 0.7931   |
+| 0.1701        | 18.92 | 175  | 0.5043          | 0.8345   |
+| 0.1487        | 19.46 | 180  | 0.5117          | 0.8138   |
+
+
+### 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": "cable",
+    "1": "case",
+    "2": "cpu"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "cable": 0,
+    "case": 1,
+    "cpu": 2
+  },
+  "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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+size 343227052

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": "ViTImageProcessor",
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 224,
+    "width": 224
+  }
+}

runs/Apr03_09-31-05_de6a7256840a/events.out.tfevents.1712136665.de6a7256840a.437.0

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training_args.bin

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