End of training

README.md

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+---
+license: apache-2.0
+base_model: microsoft/cvt-21-384-22k
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: cvt-21-384-22k-finetuned-LeafBack
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: imagefolder
+      type: imagefolder
+      config: default
+      split: validation
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.961038961038961
+---
+
+<!-- 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-21-384-22k-finetuned-LeafBack
+
+This model is a fine-tuned version of [microsoft/cvt-21-384-22k](https://huggingface.co/microsoft/cvt-21-384-22k) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1357
+- Accuracy: 0.9610
+
+## 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: 2e-05
+- train_batch_size: 40
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 30
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 16   | 0.4915          | 0.7662   |
+| No log        | 2.0   | 32   | 0.4215          | 0.7922   |
+| No log        | 3.0   | 48   | 0.3265          | 0.8831   |
+| No log        | 4.0   | 64   | 0.2275          | 0.8961   |
+| No log        | 5.0   | 80   | 0.2464          | 0.8571   |
+| No log        | 6.0   | 96   | 0.2023          | 0.9091   |
+| No log        | 7.0   | 112  | 0.2282          | 0.8961   |
+| No log        | 8.0   | 128  | 0.1933          | 0.9091   |
+| No log        | 9.0   | 144  | 0.2563          | 0.8701   |
+| No log        | 10.0  | 160  | 0.1911          | 0.9091   |
+| No log        | 11.0  | 176  | 0.2113          | 0.9351   |
+| No log        | 12.0  | 192  | 0.1680          | 0.9221   |
+| No log        | 13.0  | 208  | 0.2042          | 0.9351   |
+| No log        | 14.0  | 224  | 0.1466          | 0.9221   |
+| No log        | 15.0  | 240  | 0.1277          | 0.9351   |
+| No log        | 16.0  | 256  | 0.1558          | 0.9351   |
+| No log        | 17.0  | 272  | 0.1407          | 0.9221   |
+| No log        | 18.0  | 288  | 0.1538          | 0.9351   |
+| No log        | 19.0  | 304  | 0.1735          | 0.9221   |
+| No log        | 20.0  | 320  | 0.1640          | 0.9481   |
+| No log        | 21.0  | 336  | 0.1774          | 0.9221   |
+| No log        | 22.0  | 352  | 0.1369          | 0.9481   |
+| No log        | 23.0  | 368  | 0.1503          | 0.9481   |
+| No log        | 24.0  | 384  | 0.2836          | 0.9221   |
+| No log        | 25.0  | 400  | 0.1777          | 0.9221   |
+| No log        | 26.0  | 416  | 0.1820          | 0.9351   |
+| No log        | 27.0  | 432  | 0.1260          | 0.9481   |
+| No log        | 28.0  | 448  | 0.1539          | 0.9221   |
+| No log        | 29.0  | 464  | 0.1622          | 0.9481   |
+| No log        | 30.0  | 480  | 0.1357          | 0.9610   |
+
+
+### Framework versions
+
+- Transformers 4.38.1
+- Pytorch 1.10.0+cu111
+- Datasets 2.17.1
+- Tokenizers 0.15.2

config.json

@@ -0,0 +1,118 @@
+{
+  "_name_or_path": "microsoft/cvt-21-384-22k",
+  "architectures": [
+    "CvtForImageClassification"
+  ],
+  "attention_drop_rate": [
+    0.0,
+    0.0,
+    0.0
+  ],
+  "cls_token": [
+    false,
+    false,
+    true
+  ],
+  "depth": [
+    1,
+    4,
+    16
+  ],
+  "drop_path_rate": [
+    0.0,
+    0.0,
+    0.1
+  ],
+  "drop_rate": [
+    0.0,
+    0.0,
+    0.0
+  ],
+  "embed_dim": [
+    64,
+    192,
+    384
+  ],
+  "id2label": {
+    "0": "leafmold",
+    "1": "powdery"
+  },
+  "image_size": 384,
+  "initializer_range": 0.02,
+  "kernel_qkv": [
+    3,
+    3,
+    3
+  ],
+  "label2id": {
+    "leafmold": 0,
+    "powdery": 1
+  },
+  "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": "4.38.1"
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:5a64c1eb9a7f8b772af61f5ffccc7e652247204d575f8e464066ce5fd461518d
+size 125239600

preprocessor_config.json

@@ -0,0 +1,22 @@
+{
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_processor_type": "ViTImageProcessor",
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 224,
+    "width": 224
+  }
+}

training_args.bin

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+size 4399