End of training

README.md

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+---
+license: apache-2.0
+base_model: facebook/convnextv2-tiny-1k-224
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+- precision
+model-index:
+- name: convnextv2-tiny-1k-224-finetuned-crop-neckline
+  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: 0.8095238095238095
+    - name: Precision
+      type: precision
+      value: 0.8100590473699718
+---
+
+<!-- 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. -->
+
+# convnextv2-tiny-1k-224-finetuned-crop-neckline
+
+This model is a fine-tuned version of [facebook/convnextv2-tiny-1k-224](https://huggingface.co/facebook/convnextv2-tiny-1k-224) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6160
+- Accuracy: 0.8095
+- Precision: 0.8101
+
+## 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: 10
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 100
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|
+| No log        | 1.0   | 84   | 1.4226          | 0.5619   | 0.5870    |
+| No log        | 2.0   | 168  | 1.1924          | 0.5619   | 0.5663    |
+| No log        | 3.0   | 252  | 0.9542          | 0.6952   | 0.7317    |
+| No log        | 4.0   | 336  | 0.8255          | 0.7143   | 0.7224    |
+| No log        | 5.0   | 420  | 0.7614          | 0.7190   | 0.7378    |
+| 1.1937        | 6.0   | 504  | 0.7303          | 0.7381   | 0.7454    |
+| 1.1937        | 7.0   | 588  | 0.6770          | 0.7667   | 0.7772    |
+| 1.1937        | 8.0   | 672  | 0.6849          | 0.7667   | 0.7748    |
+| 1.1937        | 9.0   | 756  | 0.6720          | 0.7381   | 0.7532    |
+| 1.1937        | 10.0  | 840  | 0.7036          | 0.7286   | 0.7429    |
+| 1.1937        | 11.0  | 924  | 0.6752          | 0.7619   | 0.7827    |
+| 0.6846        | 12.0  | 1008 | 0.6399          | 0.7810   | 0.7860    |
+| 0.6846        | 13.0  | 1092 | 0.6860          | 0.7381   | 0.7553    |
+| 0.6846        | 14.0  | 1176 | 0.6827          | 0.7476   | 0.7644    |
+| 0.6846        | 15.0  | 1260 | 0.6160          | 0.8095   | 0.8101    |
+| 0.6846        | 16.0  | 1344 | 0.7032          | 0.7619   | 0.7695    |
+| 0.6846        | 17.0  | 1428 | 0.6916          | 0.8048   | 0.8197    |
+| 0.5051        | 18.0  | 1512 | 0.7070          | 0.7810   | 0.7891    |
+
+
+### Framework versions
+
+- Transformers 4.44.0
+- Pytorch 2.4.0
+- Datasets 2.21.0
+- Tokenizers 0.19.1

all_results.json

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+{
+    "epoch": 18.0,
+    "eval_accuracy": 0.8095238095238095,
+    "eval_loss": 0.6160297393798828,
+    "eval_precision": 0.8100590473699718,
+    "eval_runtime": 1.7716,
+    "eval_samples_per_second": 118.536,
+    "eval_steps_per_second": 29.916
+}

config.json

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+{
+  "_name_or_path": "facebook/convnextv2-tiny-1k-224",
+  "architectures": [
+    "ConvNextV2ForImageClassification"
+  ],
+  "depths": [
+    3,
+    3,
+    9,
+    3
+  ],
+  "drop_path_rate": 0.0,
+  "hidden_act": "gelu",
+  "hidden_sizes": [
+    96,
+    192,
+    384,
+    768
+  ],
+  "id2label": {
+    "0": "Boat neck",
+    "1": "Round neck",
+    "2": "Scoop neck",
+    "3": "Square neck",
+    "4": "V Neck",
+    "5": "sweet heart neck"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "label2id": {
+    "Boat neck": 0,
+    "Round neck": 1,
+    "Scoop neck": 2,
+    "Square neck": 3,
+    "V Neck": 4,
+    "sweet heart neck": 5
+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "convnextv2",
+  "num_channels": 3,
+  "num_stages": 4,
+  "out_features": [
+    "stage4"
+  ],
+  "out_indices": [
+    4
+  ],
+  "patch_size": 4,
+  "problem_type": "single_label_classification",
+  "stage_names": [
+    "stem",
+    "stage1",
+    "stage2",
+    "stage3",
+    "stage4"
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.44.0"
+}

eval_results.json

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+{
+    "epoch": 18.0,
+    "eval_accuracy": 0.8095238095238095,
+    "eval_loss": 0.6160297393798828,
+    "eval_precision": 0.8100590473699718,
+    "eval_runtime": 1.7716,
+    "eval_samples_per_second": 118.536,
+    "eval_steps_per_second": 29.916
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:d4fa5a92d7eba12366c41c234d0b4e4a0cfdab1b00375d52f712b573c583dd10
+size 111508128

preprocessor_config.json

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+{
+  "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
+  }
+}

training_args.bin

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+size 5176