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-fullwear-v2
+  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: 0.8229166666666666
+    - name: Precision
+      type: precision
+      value: 0.8355769851835295
+---
+
+<!-- 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-fullwear-v2
+
+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: 0.5128
+- Accuracy: 0.8229
+- Precision: 0.8356
+
+## 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   | 116  | 1.8085          | 0.5625   | 0.6486    |
+| No log        | 2.0   | 232  | 1.2627          | 0.6771   | 0.7218    |
+| No log        | 3.0   | 348  | 1.0071          | 0.6806   | 0.7166    |
+| No log        | 4.0   | 464  | 0.8603          | 0.7188   | 0.7466    |
+| 1.3688        | 5.0   | 580  | 0.7240          | 0.7708   | 0.8074    |
+| 1.3688        | 6.0   | 696  | 0.7496          | 0.7535   | 0.7994    |
+| 1.3688        | 7.0   | 812  | 0.5832          | 0.8056   | 0.8176    |
+| 1.3688        | 8.0   | 928  | 0.5809          | 0.7986   | 0.8156    |
+| 0.4904        | 9.0   | 1044 | 0.5456          | 0.7986   | 0.8052    |
+| 0.4904        | 10.0  | 1160 | 0.5833          | 0.7951   | 0.8198    |
+| 0.4904        | 11.0  | 1276 | 0.5782          | 0.7986   | 0.8069    |
+| 0.4904        | 12.0  | 1392 | 0.5128          | 0.8229   | 0.8356    |
+| 0.2966        | 13.0  | 1508 | 0.5421          | 0.8160   | 0.8319    |
+| 0.2966        | 14.0  | 1624 | 0.6090          | 0.7847   | 0.8171    |
+| 0.2966        | 15.0  | 1740 | 0.6090          | 0.8021   | 0.8135    |
+
+
+### 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": 15.0,
+    "eval_accuracy": 0.8229166666666666,
+    "eval_loss": 0.5127698183059692,
+    "eval_precision": 0.8355769851835295,
+    "eval_runtime": 6.0786,
+    "eval_samples_per_second": 47.379,
+    "eval_steps_per_second": 11.845
+}

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": "Co_ords",
+    "1": "Kaftan",
+    "2": "anarkali",
+    "3": "cloaks_abaya",
+    "4": "dress",
+    "5": "dungaree",
+    "6": "ethnic",
+    "7": "gown",
+    "8": "jumpsuit",
+    "9": "robe",
+    "10": "salwar_suit",
+    "11": "saree"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "label2id": {
+    "Co_ords": 0,
+    "Kaftan": 1,
+    "anarkali": 2,
+    "cloaks_abaya": 3,
+    "dress": 4,
+    "dungaree": 5,
+    "ethnic": 6,
+    "gown": 7,
+    "jumpsuit": 8,
+    "robe": 9,
+    "salwar_suit": 10,
+    "saree": 11
+  },
+  "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": 15.0,
+    "eval_accuracy": 0.8229166666666666,
+    "eval_loss": 0.5127698183059692,
+    "eval_precision": 0.8355769851835295,
+    "eval_runtime": 6.0786,
+    "eval_samples_per_second": 47.379,
+    "eval_steps_per_second": 11.845
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:3342daefceb5e5ade2a516ab7f53660d10c5f5c5b9c3902545755ac0f7a15718
+size 111526592

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