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-LeafType
+  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: 0.9310344827586207
+---
+
+<!-- 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-LeafType
+
+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: 0.2232
+- Accuracy: 0.9310
+
+## 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: 160
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 60
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 11   | 0.4857          | 0.7586   |
+| No log        | 2.0   | 22   | 0.2275          | 0.9163   |
+| No log        | 3.0   | 33   | 0.2791          | 0.8867   |
+| No log        | 4.0   | 44   | 0.3083          | 0.8522   |
+| No log        | 5.0   | 55   | 0.1496          | 0.9458   |
+| No log        | 6.0   | 66   | 0.2092          | 0.8966   |
+| No log        | 7.0   | 77   | 0.3349          | 0.8522   |
+| No log        | 8.0   | 88   | 0.1513          | 0.9557   |
+| No log        | 9.0   | 99   | 0.1385          | 0.9557   |
+| No log        | 10.0  | 110  | 0.1676          | 0.9360   |
+| No log        | 11.0  | 121  | 0.1284          | 0.9507   |
+| No log        | 12.0  | 132  | 0.1981          | 0.9015   |
+| No log        | 13.0  | 143  | 0.1346          | 0.9360   |
+| No log        | 14.0  | 154  | 0.3235          | 0.8621   |
+| No log        | 15.0  | 165  | 0.1506          | 0.9310   |
+| No log        | 16.0  | 176  | 0.1536          | 0.9360   |
+| No log        | 17.0  | 187  | 0.1529          | 0.9458   |
+| No log        | 18.0  | 198  | 0.2431          | 0.8966   |
+| No log        | 19.0  | 209  | 0.2251          | 0.9163   |
+| No log        | 20.0  | 220  | 0.2068          | 0.9163   |
+| No log        | 21.0  | 231  | 0.1429          | 0.9458   |
+| No log        | 22.0  | 242  | 0.2078          | 0.9163   |
+| No log        | 23.0  | 253  | 0.1428          | 0.9360   |
+| No log        | 24.0  | 264  | 0.2391          | 0.8916   |
+| No log        | 25.0  | 275  | 0.1512          | 0.9458   |
+| No log        | 26.0  | 286  | 0.1512          | 0.9458   |
+| No log        | 27.0  | 297  | 0.1303          | 0.9606   |
+| No log        | 28.0  | 308  | 0.2381          | 0.8867   |
+| No log        | 29.0  | 319  | 0.1544          | 0.9458   |
+| No log        | 30.0  | 330  | 0.2149          | 0.8916   |
+| No log        | 31.0  | 341  | 0.1387          | 0.9557   |
+| No log        | 32.0  | 352  | 0.1698          | 0.9360   |
+| No log        | 33.0  | 363  | 0.1750          | 0.9409   |
+| No log        | 34.0  | 374  | 0.2041          | 0.9113   |
+| No log        | 35.0  | 385  | 0.1888          | 0.9360   |
+| No log        | 36.0  | 396  | 0.1527          | 0.9458   |
+| No log        | 37.0  | 407  | 0.1721          | 0.9360   |
+| No log        | 38.0  | 418  | 0.1720          | 0.9409   |
+| No log        | 39.0  | 429  | 0.1810          | 0.9360   |
+| No log        | 40.0  | 440  | 0.2041          | 0.9261   |
+| No log        | 41.0  | 451  | 0.1945          | 0.9261   |
+| No log        | 42.0  | 462  | 0.2211          | 0.9163   |
+| No log        | 43.0  | 473  | 0.2284          | 0.9163   |
+| No log        | 44.0  | 484  | 0.1905          | 0.9261   |
+| No log        | 45.0  | 495  | 0.2329          | 0.9113   |
+| 0.2716        | 46.0  | 506  | 0.1839          | 0.9360   |
+| 0.2716        | 47.0  | 517  | 0.1854          | 0.9310   |
+| 0.2716        | 48.0  | 528  | 0.1923          | 0.9310   |
+| 0.2716        | 49.0  | 539  | 0.2254          | 0.9261   |
+| 0.2716        | 50.0  | 550  | 0.2677          | 0.9015   |
+| 0.2716        | 51.0  | 561  | 0.2620          | 0.9015   |
+| 0.2716        | 52.0  | 572  | 0.2224          | 0.9261   |
+| 0.2716        | 53.0  | 583  | 0.2238          | 0.9310   |
+| 0.2716        | 54.0  | 594  | 0.2355          | 0.9212   |
+| 0.2716        | 55.0  | 605  | 0.2533          | 0.9261   |
+| 0.2716        | 56.0  | 616  | 0.2237          | 0.9310   |
+| 0.2716        | 57.0  | 627  | 0.2296          | 0.9310   |
+| 0.2716        | 58.0  | 638  | 0.2361          | 0.9310   |
+| 0.2716        | 59.0  | 649  | 0.2358          | 0.9310   |
+| 0.2716        | 60.0  | 660  | 0.2232          | 0.9310   |
+
+
+### 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": "leaflet",
+    "1": "pinnate"
+  },
+  "image_size": 384,
+  "initializer_range": 0.02,
+  "kernel_qkv": [
+    3,
+    3,
+    3
+  ],
+  "label2id": {
+    "leaflet": 0,
+    "pinnate": 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 sha256:789b6fd135b9f26be242846507b8dd167f608c637281463a6629a68416eb26c1
+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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+oid sha256:18f0a47968d1374034635bd833a95d2720d15d36abb0e6587c8e40ed24806264
+size 4399