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-upperfull-mix
+  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: 0.8004385964912281
+    - name: Precision
+      type: precision
+      value: 0.8160100686256399
+---
+
+<!-- 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-upperfull-mix
+
+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: 0.6187
+- Accuracy: 0.8004
+- Precision: 0.8160
+
+## 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   | 183  | 2.1471          | 0.4693   | 0.5128    |
+| No log        | 2.0   | 366  | 1.4576          | 0.6579   | 0.6955    |
+| 1.9821        | 3.0   | 549  | 1.1372          | 0.6754   | 0.7183    |
+| 1.9821        | 4.0   | 732  | 0.9214          | 0.7303   | 0.7659    |
+| 1.9821        | 5.0   | 915  | 0.7792          | 0.7478   | 0.7661    |
+| 0.8885        | 6.0   | 1098 | 0.7455          | 0.7654   | 0.7780    |
+| 0.8885        | 7.0   | 1281 | 0.6756          | 0.7873   | 0.8020    |
+| 0.8885        | 8.0   | 1464 | 0.6787          | 0.7807   | 0.7932    |
+| 0.5696        | 9.0   | 1647 | 0.6694          | 0.7982   | 0.8099    |
+| 0.5696        | 10.0  | 1830 | 0.6799          | 0.7741   | 0.7930    |
+| 0.4056        | 11.0  | 2013 | 0.6187          | 0.8004   | 0.8160    |
+| 0.4056        | 12.0  | 2196 | 0.6868          | 0.7675   | 0.8063    |
+| 0.4056        | 13.0  | 2379 | 0.7525          | 0.7544   | 0.7803    |
+| 0.2904        | 14.0  | 2562 | 0.6572          | 0.7895   | 0.8093    |
+
+
+### 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": 14.0,
+    "eval_accuracy": 0.8004385964912281,
+    "eval_loss": 0.6187320947647095,
+    "eval_precision": 0.8160100686256399,
+    "eval_runtime": 9.6185,
+    "eval_samples_per_second": 47.409,
+    "eval_steps_per_second": 11.852
+}

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": "Anarkali",
+    "1": "Cardigan",
+    "2": "Cloaks Abaya",
+    "3": "Co Ords",
+    "4": "Dress",
+    "5": "Dungaree",
+    "6": "Ethnic",
+    "7": "Gown",
+    "8": "Jumpsuit",
+    "9": "Kurta",
+    "10": "Kurti",
+    "11": "Robe",
+    "12": "Salwar Suit",
+    "13": "Saree",
+    "14": "Shirt",
+    "15": "Summer Jacket",
+    "16": "Sweatshirt hoodie",
+    "17": "Tshirt",
+    "18": "Tunic"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "label2id": {
+    "Anarkali": 0,
+    "Cardigan": 1,
+    "Cloaks Abaya": 2,
+    "Co Ords": 3,
+    "Dress": 4,
+    "Dungaree": 5,
+    "Ethnic": 6,
+    "Gown": 7,
+    "Jumpsuit": 8,
+    "Kurta": 9,
+    "Kurti": 10,
+    "Robe": 11,
+    "Salwar Suit": 12,
+    "Saree": 13,
+    "Shirt": 14,
+    "Summer Jacket": 15,
+    "Sweatshirt hoodie": 16,
+    "Tshirt": 17,
+    "Tunic": 18
+  },
+  "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": 14.0,
+    "eval_accuracy": 0.8004385964912281,
+    "eval_loss": 0.6187320947647095,
+    "eval_precision": 0.8160100686256399,
+    "eval_runtime": 9.6185,
+    "eval_samples_per_second": 47.409,
+    "eval_steps_per_second": 11.852
+}

model.safetensors

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+size 111548132

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