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-PinnatelyCompound
+  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: 0.9955357142857143
+---
+
+<!-- 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-PinnatelyCompound
+
+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: 0.0064
+- Accuracy: 0.9955
+
+## 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   | 23   | 0.2918          | 0.8973   |
+| No log        | 2.0   | 46   | 0.1656          | 0.9330   |
+| No log        | 3.0   | 69   | 0.0529          | 0.9821   |
+| No log        | 4.0   | 92   | 0.0144          | 0.9955   |
+| No log        | 5.0   | 115  | 0.0266          | 0.9911   |
+| No log        | 6.0   | 138  | 0.0244          | 0.9955   |
+| No log        | 7.0   | 161  | 0.0144          | 0.9955   |
+| No log        | 8.0   | 184  | 0.0154          | 0.9955   |
+| No log        | 9.0   | 207  | 0.0188          | 0.9911   |
+| No log        | 10.0  | 230  | 0.0094          | 0.9955   |
+| No log        | 11.0  | 253  | 0.0055          | 1.0      |
+| No log        | 12.0  | 276  | 0.0026          | 1.0      |
+| No log        | 13.0  | 299  | 0.0057          | 1.0      |
+| No log        | 14.0  | 322  | 0.0079          | 0.9955   |
+| No log        | 15.0  | 345  | 0.0026          | 1.0      |
+| No log        | 16.0  | 368  | 0.0017          | 1.0      |
+| No log        | 17.0  | 391  | 0.0044          | 0.9955   |
+| No log        | 18.0  | 414  | 0.0038          | 1.0      |
+| No log        | 19.0  | 437  | 0.0120          | 0.9911   |
+| No log        | 20.0  | 460  | 0.0005          | 1.0      |
+| No log        | 21.0  | 483  | 0.0019          | 1.0      |
+| 0.2553        | 22.0  | 506  | 0.0020          | 1.0      |
+| 0.2553        | 23.0  | 529  | 0.0026          | 1.0      |
+| 0.2553        | 24.0  | 552  | 0.0053          | 0.9955   |
+| 0.2553        | 25.0  | 575  | 0.0009          | 1.0      |
+| 0.2553        | 26.0  | 598  | 0.0008          | 1.0      |
+| 0.2553        | 27.0  | 621  | 0.0016          | 1.0      |
+| 0.2553        | 28.0  | 644  | 0.0010          | 1.0      |
+| 0.2553        | 29.0  | 667  | 0.0008          | 1.0      |
+| 0.2553        | 30.0  | 690  | 0.0064          | 0.9955   |
+
+
+### Framework versions
+
+- Transformers 4.38.1
+- Pytorch 1.10.0+cu111
+- Datasets 2.17.1
+- Tokenizers 0.15.2

config.json

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+{
+  "_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": "pinnate_health",
+    "1": "pinnate_phytohormone",
+    "2": "pinnate_virus"
+  },
+  "image_size": 384,
+  "initializer_range": 0.02,
+  "kernel_qkv": [
+    3,
+    3,
+    3
+  ],
+  "label2id": {
+    "pinnate_health": 0,
+    "pinnate_phytohormone": 1,
+    "pinnate_virus": 2
+  },
+  "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 sha256:345164475143d9d6464d57b0ad084cb4cda79c39c781cc4de121b64c8d6e3af1
+size 125241140

preprocessor_config.json

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+{
+  "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