End of training

README.md

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+---
+license: apache-2.0
+base_model: microsoft/cvt-13
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: cvt-13-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: 0.9368421052631579
+    - name: Precision
+      type: precision
+      value: 0.9374630861809764
+    - name: Recall
+      type: recall
+      value: 0.9368421052631579
+    - name: F1
+      type: f1
+      value: 0.9341589949056075
+---
+
+<!-- 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. -->
+
+# cvt-13-finetuned-flower
+
+This model is a fine-tuned version of [microsoft/cvt-13](https://huggingface.co/microsoft/cvt-13) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2151
+- Accuracy: 0.9368
+- Precision: 0.9375
+- Recall: 0.9368
+- F1: 0.9342
+
+## 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     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 1.0555        | 1.0   | 40   | 0.3933          | 0.8766   | 0.8828    | 0.8766 | 0.8713 |
+| 1.1941        | 2.0   | 80   | 1.0797          | 0.6726   | 0.7515    | 0.6726 | 0.6546 |
+| 1.2286        | 3.0   | 120  | 0.8459          | 0.7347   | 0.7820    | 0.7347 | 0.7343 |
+| 1.209         | 4.0   | 160  | 0.6660          | 0.7880   | 0.8173    | 0.7880 | 0.7833 |
+| 1.1158        | 5.0   | 200  | 0.7348          | 0.7597   | 0.7809    | 0.7597 | 0.7561 |
+| 1.1113        | 6.0   | 240  | 0.6387          | 0.8062   | 0.8164    | 0.8062 | 0.7986 |
+| 1.0332        | 7.0   | 280  | 0.6555          | 0.7887   | 0.8064    | 0.7887 | 0.7831 |
+| 1.0234        | 8.0   | 320  | 0.5776          | 0.8276   | 0.8447    | 0.8276 | 0.8177 |
+| 0.9997        | 9.0   | 360  | 0.5784          | 0.8214   | 0.8421    | 0.8214 | 0.8169 |
+| 0.9421        | 10.0  | 400  | 0.4667          | 0.8486   | 0.8600    | 0.8486 | 0.8453 |
+| 0.9057        | 11.0  | 440  | 0.4508          | 0.8541   | 0.8711    | 0.8541 | 0.8487 |
+| 0.8662        | 12.0  | 480  | 0.3517          | 0.8911   | 0.8938    | 0.8911 | 0.8868 |
+| 0.8341        | 13.0  | 520  | 0.3191          | 0.8976   | 0.9021    | 0.8976 | 0.8945 |
+| 0.757         | 14.0  | 560  | 0.2785          | 0.9183   | 0.9199    | 0.9183 | 0.9144 |
+| 0.7906        | 15.0  | 600  | 0.2698          | 0.9201   | 0.9218    | 0.9201 | 0.9172 |
+| 0.7464        | 16.0  | 640  | 0.2594          | 0.9216   | 0.9232    | 0.9216 | 0.9188 |
+| 0.7335        | 17.0  | 680  | 0.2491          | 0.9263   | 0.9281    | 0.9263 | 0.9240 |
+| 0.7085        | 18.0  | 720  | 0.2396          | 0.9303   | 0.9304    | 0.9303 | 0.9272 |
+| 0.7177        | 19.0  | 760  | 0.2171          | 0.9350   | 0.9355    | 0.9350 | 0.9321 |
+| 0.6735        | 20.0  | 800  | 0.2151          | 0.9368   | 0.9375    | 0.9368 | 0.9342 |
+
+
+### 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": "microsoft/cvt-13",
+  "architectures": [
+    "CvtForImageClassification"
+  ],
+  "attention_drop_rate": [
+    0.0,
+    0.0,
+    0.0
+  ],
+  "cls_token": [
+    false,
+    false,
+    true
+  ],
+  "depth": [
+    1,
+    2,
+    10
+  ],
+  "drop_path_rate": [
+    0.0,
+    0.0,
+    0.1
+  ],
+  "drop_rate": [
+    0.0,
+    0.0,
+    0.0
+  ],
+  "embed_dim": [
+    64,
+    192,
+    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_qkv": [
+    3,
+    3,
+    3
+  ],
+  "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
+  },
+  "layer_norm_eps": 1e-12,
+  "mlp_ratio": [
+    4.0,
+    4.0,
+    4.0
+  ],
+  "model_type": "cvt",
+  "num_channels": 3,
+  "num_heads": [
+    1,
+    3,
+    6
+  ],
+  "num_stages": 3,
+  "padding_kv": [
+    1,
+    1,
+    1
+  ],
+  "padding_q": [
+    1,
+    1,
+    1
+  ],
+  "patch_padding": [
+    2,
+    1,
+    1
+  ],
+  "patch_sizes": [
+    7,
+    3,
+    3
+  ],
+  "patch_stride": [
+    4,
+    2,
+    2
+  ],
+  "pos_embed": [
+    false,
+    false,
+    false
+  ],
+  "problem_type": "single_label_classification",
+  "qkv_bias": [
+    true,
+    true,
+    true
+  ],
+  "qkv_projection_method": [
+    "dw_bn",
+    "dw_bn",
+    "dw_bn"
+  ],
+  "stride_kv": [
+    2,
+    2,
+    2
+  ],
+  "stride_q": [
+    1,
+    1,
+    1
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.39.3"
+}

model.safetensors

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+oid sha256:a6463538d1b5ac793b57f44a56176b26c9e42f4cff63727bc55e851ebd7467b9
+size 78651152

preprocessor_config.json

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+{
+  "_valid_processor_keys": [
+    "images",
+    "do_resize",
+    "size",
+    "crop_pct",
+    "resample",
+    "do_rescale",
+    "rescale_factor",
+    "do_normalize",
+    "image_mean",
+    "image_std",
+    "return_tensors",
+    "data_format",
+    "input_data_format"
+  ],
+  "crop_pct": 0.875,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "ConvNextImageProcessor",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "shortest_edge": 224
+  }
+}

runs/Apr09_18-34-22_165-1-65-97/events.out.tfevents.1712687667.165-1-65-97.1392.2

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+size 32510

training_args.bin

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