End of training

README.md

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+---
+license: apache-2.0
+base_model: facebook/levit-256
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: levit-256-finetuned-flower
+  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: 0.9520871143375681
+    - name: Precision
+      type: precision
+      value: 0.9522871286223231
+    - name: Recall
+      type: recall
+      value: 0.9520871143375681
+    - name: F1
+      type: f1
+      value: 0.9518251458019376
+---
+
+<!-- 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. -->
+
+# levit-256-finetuned-flower
+
+This model is a fine-tuned version of [facebook/levit-256](https://huggingface.co/facebook/levit-256) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1677
+- Accuracy: 0.9521
+- Precision: 0.9523
+- Recall: 0.9521
+- F1: 0.9518
+
+## 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: 0.005
+- train_batch_size: 64
+- eval_batch_size: 64
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 256
+- 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 | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.599         | 1.0   | 40   | 0.5907          | 0.8207   | 0.8515    | 0.8207 | 0.8219 |
+| 0.7842        | 2.0   | 80   | 1.4800          | 0.6693   | 0.7271    | 0.6693 | 0.6607 |
+| 0.7716        | 3.0   | 120  | 0.8614          | 0.7554   | 0.7853    | 0.7554 | 0.7544 |
+| 0.5976        | 4.0   | 160  | 0.5576          | 0.8243   | 0.8470    | 0.8243 | 0.8260 |
+| 0.488         | 5.0   | 200  | 0.4656          | 0.8555   | 0.8724    | 0.8555 | 0.8546 |
+| 0.4871        | 6.0   | 240  | 0.4387          | 0.8672   | 0.8823    | 0.8672 | 0.8672 |
+| 0.3606        | 7.0   | 280  | 0.3041          | 0.9045   | 0.9053    | 0.9045 | 0.9034 |
+| 0.3159        | 8.0   | 320  | 0.3283          | 0.8976   | 0.9022    | 0.8976 | 0.8961 |
+| 0.3078        | 9.0   | 360  | 0.2848          | 0.9125   | 0.9156    | 0.9125 | 0.9124 |
+| 0.2922        | 10.0  | 400  | 0.2526          | 0.9180   | 0.9212    | 0.9180 | 0.9184 |
+| 0.2412        | 11.0  | 440  | 0.2367          | 0.9281   | 0.9306    | 0.9281 | 0.9280 |
+| 0.2095        | 12.0  | 480  | 0.2283          | 0.9314   | 0.9323    | 0.9314 | 0.9305 |
+| 0.1786        | 13.0  | 520  | 0.1890          | 0.9408   | 0.9412    | 0.9408 | 0.9408 |
+| 0.123         | 14.0  | 560  | 0.2071          | 0.9383   | 0.9398    | 0.9383 | 0.9382 |
+| 0.1481        | 15.0  | 600  | 0.1854          | 0.9426   | 0.9433    | 0.9426 | 0.9426 |
+| 0.125         | 16.0  | 640  | 0.2051          | 0.9376   | 0.9400    | 0.9376 | 0.9373 |
+| 0.1135        | 17.0  | 680  | 0.1785          | 0.9495   | 0.9496    | 0.9495 | 0.9495 |
+| 0.0815        | 18.0  | 720  | 0.1655          | 0.9539   | 0.9542    | 0.9539 | 0.9538 |
+| 0.0784        | 19.0  | 760  | 0.1707          | 0.9525   | 0.9527    | 0.9525 | 0.9521 |
+| 0.0905        | 20.0  | 800  | 0.1677          | 0.9521   | 0.9523    | 0.9521 | 0.9518 |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.0.1
+- Datasets 2.18.0
+- Tokenizers 0.15.2

config.json

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+{
+  "_name_or_path": "facebook/levit-256",
+  "architectures": [
+    "LevitForImageClassification"
+  ],
+  "attention_ratio": [
+    2,
+    2,
+    2
+  ],
+  "depths": [
+    4,
+    4,
+    4
+  ],
+  "down_ops": [
+    [
+      "Subsample",
+      32,
+      8,
+      4,
+      2,
+      2
+    ],
+    [
+      "Subsample",
+      32,
+      12,
+      4,
+      2,
+      2
+    ],
+    [
+      ""
+    ]
+  ],
+  "drop_path_rate": 0,
+  "hidden_sizes": [
+    256,
+    384,
+    512
+  ],
+  "id2label": {
+    "0": "astilbe",
+    "1": "bellflower",
+    "2": "black_eyed_susan",
+    "3": "calendula",
+    "4": "california_poppy",
+    "5": "carnation",
+    "6": "common_daisy",
+    "7": "coreopsis",
+    "8": "daffodil",
+    "9": "dandelion",
+    "10": "iris",
+    "11": "magnolia",
+    "12": "rose",
+    "13": "sunflower",
+    "14": "tulip",
+    "15": "water_lily"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "kernel_size": 3,
+  "key_dim": [
+    32,
+    32,
+    32
+  ],
+  "label2id": {
+    "astilbe": 0,
+    "bellflower": 1,
+    "black_eyed_susan": 2,
+    "calendula": 3,
+    "california_poppy": 4,
+    "carnation": 5,
+    "common_daisy": 6,
+    "coreopsis": 7,
+    "daffodil": 8,
+    "dandelion": 9,
+    "iris": 10,
+    "magnolia": 11,
+    "rose": 12,
+    "sunflower": 13,
+    "tulip": 14,
+    "water_lily": 15
+  },
+  "mlp_ratio": [
+    2,
+    2,
+    2
+  ],
+  "model_type": "levit",
+  "num_attention_heads": [
+    4,
+    6,
+    8
+  ],
+  "num_channels": 3,
+  "padding": 1,
+  "patch_size": 16,
+  "problem_type": "single_label_classification",
+  "stride": 2,
+  "torch_dtype": "float32",
+  "transformers_version": "4.39.3"
+}

model.safetensors

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+oid sha256:37915f7bdb3b0c2c27452a354d0491c184515b262ae3795a9a8f1f66a7b64524
+size 71842408

preprocessor_config.json

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+{
+  "_valid_processor_keys": [
+    "images",
+    "do_resize",
+    "size",
+    "resample",
+    "do_center_crop",
+    "crop_size",
+    "do_rescale",
+    "rescale_factor",
+    "do_normalize",
+    "image_mean",
+    "image_std",
+    "return_tensors",
+    "data_format",
+    "input_data_format"
+  ],
+  "crop_size": {
+    "height": 224,
+    "width": 224
+  },
+  "do_center_crop": true,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "LevitImageProcessor",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "shortest_edge": 224
+  }
+}

runs/Apr09_18-10-24_165-1-65-97/events.out.tfevents.1712686224.165-1-65-97.1392.1

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training_args.bin

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