End of training

README.md

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+---
+license: apache-2.0
+base_model: google/vit-base-patch16-224
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: vit-base-patch16-224-vit-base-patch16
+  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: 0.5851995594482614
+---
+
+<!-- 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-base-patch16-224-vit-base-patch16
+
+This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.9156
+- Accuracy: 0.5852
+
+## 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: 32
+- eval_batch_size: 32
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 128
+- 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 |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 4.0308        | 1.0   | 5362  | 3.6948          | 0.2491   |
+| 2.694         | 2.0   | 10725 | 2.2586          | 0.5199   |
+| 2.4475        | 3.0   | 16086 | 1.9156          | 0.5852   |
+
+
+### Framework versions
+
+- Transformers 4.36.2
+- Pytorch 2.1.2+cpu
+- Datasets 2.16.1
+- Tokenizers 0.15.0

all_results.json

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+{
+    "epoch": 3.0,
+    "eval_accuracy": 0.5851995594482614,
+    "eval_loss": 1.9156352281570435,
+    "eval_runtime": 8376.0076,
+    "eval_samples_per_second": 9.106,
+    "eval_steps_per_second": 0.285,
+    "train_loss": 3.7719367721047283,
+    "train_runtime": 628821.6026,
+    "train_samples_per_second": 3.275,
+    "train_steps_per_second": 0.026
+}

eval_results.json

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+{
+    "epoch": 3.0,
+    "eval_accuracy": 0.5851995594482614,
+    "eval_loss": 1.9156352281570435,
+    "eval_runtime": 8376.0076,
+    "eval_samples_per_second": 9.106,
+    "eval_steps_per_second": 0.285
+}

model.safetensors

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+size 351769152

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/Jan09_14-08-48_RyRyWoods/events.out.tfevents.1704830953.RyRyWoods.13824.0

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runs/Jan10_12-27-45_RyRyWoods/events.out.tfevents.1704911272.RyRyWoods.18028.0

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runs/Jan10_14-27-46_RyRyWoods/events.out.tfevents.1704918473.RyRyWoods.18028.1

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train_results.json

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+{
+    "epoch": 3.0,
+    "train_loss": 3.7719367721047283,
+    "train_runtime": 628821.6026,
+    "train_samples_per_second": 3.275,
+    "train_steps_per_second": 0.026
+}

training_args.bin

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