End of training

README.md

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+---
+license: apache-2.0
+base_model: google/efficientnet-b2
+tags:
+- generated_from_trainer
+datasets:
+- image_folder
+metrics:
+- accuracy
+model-index:
+- name: results
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: image_folder
+      type: image_folder
+      config: default
+      split: train
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.5296428571428572
+---
+
+<!-- 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. -->
+
+# results
+
+This model is a fine-tuned version of [google/efficientnet-b2](https://huggingface.co/google/efficientnet-b2) on the image_folder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6920
+- Accuracy: 0.5296
+
+## 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: 3e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 256
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 1000
+- num_epochs: 3
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.37.0
+- Pytorch 2.1.2
+- Datasets 2.1.0
+- Tokenizers 0.15.1

all_results.json

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+{
+    "epoch": 3.0,
+    "eval_accuracy": 0.5296428571428572,
+    "eval_loss": 0.6920002102851868,
+    "eval_runtime": 16.5991,
+    "eval_samples_per_second": 168.683,
+    "eval_steps_per_second": 5.301
+}

config.json

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+{
+  "_name_or_path": "google/efficientnet-b2",
+  "architectures": [
+    "EfficientNetForImageClassification"
+  ],
+  "batch_norm_eps": 0.001,
+  "batch_norm_momentum": 0.99,
+  "depth_coefficient": 1.2,
+  "depth_divisor": 8,
+  "depthwise_padding": [
+    5,
+    8,
+    16
+  ],
+  "drop_connect_rate": 0.2,
+  "dropout_rate": 0.3,
+  "expand_ratios": [
+    1,
+    6,
+    6,
+    6,
+    6,
+    6,
+    6
+  ],
+  "hidden_act": "swish",
+  "hidden_dim": 1408,
+  "id2label": {
+    "0": "fake",
+    "1": "real"
+  },
+  "image_size": 260,
+  "in_channels": [
+    32,
+    16,
+    24,
+    40,
+    80,
+    112,
+    192
+  ],
+  "initializer_range": 0.02,
+  "kernel_sizes": [
+    3,
+    3,
+    5,
+    3,
+    5,
+    5,
+    3
+  ],
+  "label2id": {
+    "fake": 0,
+    "real": 1
+  },
+  "model_type": "efficientnet",
+  "num_block_repeats": [
+    1,
+    2,
+    2,
+    3,
+    3,
+    4,
+    1
+  ],
+  "num_channels": 3,
+  "num_hidden_layers": 64,
+  "out_channels": [
+    16,
+    24,
+    40,
+    80,
+    112,
+    192,
+    320
+  ],
+  "pooling_type": "mean",
+  "problem_type": "single_label_classification",
+  "squeeze_expansion_ratio": 0.25,
+  "strides": [
+    1,
+    2,
+    2,
+    2,
+    1,
+    2,
+    1
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.37.0",
+  "width_coefficient": 1.1
+}

eval_results.json

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+{
+    "epoch": 3.0,
+    "eval_accuracy": 0.5296428571428572,
+    "eval_loss": 0.6920002102851868,
+    "eval_runtime": 16.5991,
+    "eval_samples_per_second": 168.683,
+    "eval_steps_per_second": 5.301
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:113b1f93afc40ce8930ba1b2bdfdb189d65070825b902ca4181f9f5c37405585
+size 31151640

preprocessor_config.json

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+{
+  "crop_size": {
+    "height": 289,
+    "width": 289
+  },
+  "do_center_crop": false,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "EfficientNetImageProcessor",
+  "image_std": [
+    0.47853944,
+    0.4732864,
+    0.47434163
+  ],
+  "include_top": true,
+  "resample": 0,
+  "rescale_factor": 0.00392156862745098,
+  "rescale_offset": false,
+  "size": {
+    "height": 260,
+    "width": 260
+  }
+}

training_args.bin

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+size 4664