End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: dennisjooo/Birds-Classifier-EfficientNetB2
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- f1
+- precision
+- recall
+- accuracy
+model-index:
+- name: train_checkpoints2
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: imagefolder
+      type: imagefolder
+      config: default
+      split: validation
+      args: default
+    metrics:
+    - name: F1
+      type: f1
+      value: 0.8685894687564659
+    - name: Precision
+      type: precision
+      value: 0.8781544844044844
+    - name: Recall
+      type: recall
+      value: 0.8634882138558609
+    - name: Accuracy
+      type: accuracy
+      value: 0.8686131386861314
+---
+
+<!-- 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. -->
+
+# train_checkpoints2
+
+This model is a fine-tuned version of [dennisjooo/Birds-Classifier-EfficientNetB2](https://huggingface.co/dennisjooo/Birds-Classifier-EfficientNetB2) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4826
+- F1: 0.8686
+- Precision: 0.8782
+- Recall: 0.8635
+- Accuracy: 0.8686
+
+## 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: 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
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     | Precision | Recall | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:---------:|:------:|:--------:|
+| 0.1145        | 1.0   | 15   | 0.5836          | 0.8608 | 0.8776    | 0.8520 | 0.8613   |
+| 0.129         | 2.0   | 30   | 0.8019          | 0.8322 | 0.8634    | 0.8192 | 0.8358   |
+| 0.2085        | 3.0   | 45   | 0.7550          | 0.8083 | 0.8355    | 0.8042 | 0.8212   |
+| 0.1722        | 4.0   | 60   | 0.7524          | 0.8298 | 0.8422    | 0.8357 | 0.8394   |
+| 0.19          | 5.0   | 75   | 0.5542          | 0.8743 | 0.8910    | 0.8679 | 0.8723   |
+| 0.1612        | 6.0   | 90   | 0.8325          | 0.8114 | 0.8410    | 0.8063 | 0.8066   |
+| 0.2009        | 7.0   | 105  | 0.4425          | 0.8900 | 0.8904    | 0.8911 | 0.8942   |
+| 0.209         | 8.0   | 120  | 0.6705          | 0.8126 | 0.8482    | 0.8074 | 0.8358   |
+| 0.2188        | 9.0   | 135  | 0.5906          | 0.8387 | 0.8551    | 0.8350 | 0.8467   |
+| 0.1962        | 10.0  | 150  | 0.4826          | 0.8686 | 0.8782    | 0.8635 | 0.8686   |
+
+
+### Framework versions
+
+- Transformers 4.49.0
+- Pytorch 2.6.0+cu124
+- Datasets 3.3.2
+- Tokenizers 0.21.0

config.json

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+{
+  "_name_or_path": "dennisjooo/Birds-Classifier-EfficientNetB2",
+  "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": {
+    "24": "American_Wigeon",
+    "114": "Bufflehead",
+    "126": "Canvasback",
+    "286": "Hooded_Merganser",
+    "339": "Mallard",
+    "364": "Northern_Shoveler",
+    "409": "Redhead",
+    "516": "Wood_Duck"
+  },
+  "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": {
+    "American_Wigeon": 24,
+    "Bufflehead": 114,
+    "Canvasback": 126,
+    "Hooded_Merganser": 286,
+    "Mallard": 339,
+    "Northern_Shoveler": 364,
+    "Redhead": 409,
+    "Wood_Duck": 516
+  },
+  "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": "4.49.0",
+  "width_coefficient": 1.1
+}

model.safetensors

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+size 31185464

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
+  }
+}

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training_args.bin

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