End of training

README.md

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+---
+license: apache-2.0
+base_model: facebook/levit-128
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: levit-128-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: 0.9506352087114338
+    - name: Precision
+      type: precision
+      value: 0.950988634564862
+    - name: Recall
+      type: recall
+      value: 0.9506352087114338
+    - name: F1
+      type: f1
+      value: 0.9505680872971296
+---
+
+<!-- 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-128-finetuned-flower
+
+This model is a fine-tuned version of [facebook/levit-128](https://huggingface.co/facebook/levit-128) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1807
+- Accuracy: 0.9506
+- Precision: 0.9510
+- Recall: 0.9506
+- F1: 0.9506
+
+## 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     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.6679        | 1.0   | 40   | 0.6957          | 0.8076   | 0.8492    | 0.8076 | 0.8060 |
+| 0.7188        | 2.0   | 80   | 0.7094          | 0.7822   | 0.7997    | 0.7822 | 0.7789 |
+| 0.7277        | 3.0   | 120  | 0.7803          | 0.7477   | 0.7912    | 0.7477 | 0.7480 |
+| 0.561         | 4.0   | 160  | 0.5489          | 0.8352   | 0.8462    | 0.8352 | 0.8292 |
+| 0.4958        | 5.0   | 200  | 0.4067          | 0.8770   | 0.8852    | 0.8770 | 0.8766 |
+| 0.4681        | 6.0   | 240  | 0.4801          | 0.8457   | 0.8570    | 0.8457 | 0.8423 |
+| 0.368         | 7.0   | 280  | 0.4348          | 0.8617   | 0.8697    | 0.8617 | 0.8618 |
+| 0.355         | 8.0   | 320  | 0.3401          | 0.8926   | 0.8971    | 0.8926 | 0.8924 |
+| 0.3164        | 9.0   | 360  | 0.3510          | 0.8871   | 0.8935    | 0.8871 | 0.8871 |
+| 0.2972        | 10.0  | 400  | 0.2877          | 0.9140   | 0.9159    | 0.9140 | 0.9133 |
+| 0.2639        | 11.0  | 440  | 0.2588          | 0.9245   | 0.9246    | 0.9245 | 0.9233 |
+| 0.264         | 12.0  | 480  | 0.2811          | 0.9096   | 0.9155    | 0.9096 | 0.9097 |
+| 0.2082        | 13.0  | 520  | 0.2368          | 0.9238   | 0.9244    | 0.9238 | 0.9225 |
+| 0.1506        | 14.0  | 560  | 0.2552          | 0.9205   | 0.9244    | 0.9205 | 0.9200 |
+| 0.179         | 15.0  | 600  | 0.2133          | 0.9401   | 0.9421    | 0.9401 | 0.9399 |
+| 0.1388        | 16.0  | 640  | 0.2170          | 0.9376   | 0.9388    | 0.9376 | 0.9377 |
+| 0.116         | 17.0  | 680  | 0.1817          | 0.9466   | 0.9468    | 0.9466 | 0.9464 |
+| 0.0976        | 18.0  | 720  | 0.1915          | 0.9470   | 0.9477    | 0.9470 | 0.9473 |
+| 0.0806        | 19.0  | 760  | 0.1876          | 0.9492   | 0.9501    | 0.9492 | 0.9493 |
+| 0.0911        | 20.0  | 800  | 0.1807          | 0.9506   | 0.9510    | 0.9506 | 0.9506 |
+
+
+### 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-128",
+  "architectures": [
+    "LevitForImageClassification"
+  ],
+  "attention_ratio": [
+    2,
+    2,
+    2
+  ],
+  "depths": [
+    4,
+    4,
+    4
+  ],
+  "down_ops": [
+    [
+      "Subsample",
+      16,
+      8,
+      4,
+      2,
+      2
+    ],
+    [
+      "Subsample",
+      16,
+      16,
+      4,
+      2,
+      2
+    ],
+    [
+      ""
+    ]
+  ],
+  "drop_path_rate": 0,
+  "hidden_sizes": [
+    128,
+    256,
+    384
+  ],
+  "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": [
+    16,
+    16,
+    16
+  ],
+  "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,
+    8,
+    12
+  ],
+  "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 sha256:127217572d7d53e9d5f4de3e3f8fbf1a0368f7d724e93fe3acd7c5b6b70d9283
+size 34042032

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_18-00-14_165-1-65-97/events.out.tfevents.1712685614.165-1-65-97.1392.0

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+size 32147

training_args.bin

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