Model save

README.md

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+---
+license: apache-2.0
+base_model: facebook/convnext-tiny-224
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: akram-convNeXt-flipkarts
+  results: []
+---
+
+<!-- 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. -->
+
+# akram-convNeXt-flipkarts
+
+This model is a fine-tuned version of [facebook/convnext-tiny-224](https://huggingface.co/facebook/convnext-tiny-224) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4617
+- Accuracy: 0.8734
+
+## 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: 0.0002
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.3777        | 0.57  | 32   | 0.5409          | 0.8228   |
+| 0.131         | 1.14  | 64   | 0.5633          | 0.8418   |
+| 0.1426        | 1.71  | 96   | 0.5171          | 0.8291   |
+| 0.2413        | 2.29  | 128  | 0.4775          | 0.8608   |
+| 0.1852        | 2.86  | 160  | 0.4648          | 0.8608   |
+| 0.2165        | 3.43  | 192  | 0.4581          | 0.8734   |
+| 0.1529        | 4.0   | 224  | 0.4617          | 0.8734   |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

config.json

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+{
+  "_name_or_path": "facebook/convnext-tiny-224",
+  "architectures": [
+    "ConvNextForImageClassification"
+  ],
+  "depths": [
+    3,
+    3,
+    9,
+    3
+  ],
+  "drop_path_rate": 0.0,
+  "hidden_act": "gelu",
+  "hidden_sizes": [
+    96,
+    192,
+    384,
+    768
+  ],
+  "id2label": {
+    "0": "Baby Care",
+    "1": "Beauty and Personal Care",
+    "2": "Computers",
+    "3": "Home Decor & Festive Needs",
+    "4": "Home Furnishing",
+    "5": "Kitchen & Dining",
+    "6": "Watches"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "label2id": {
+    "Baby Care": 0,
+    "Beauty and Personal Care": 1,
+    "Computers": 2,
+    "Home Decor & Festive Needs": 3,
+    "Home Furnishing": 4,
+    "Kitchen & Dining": 5,
+    "Watches": 6
+  },
+  "layer_norm_eps": 1e-12,
+  "layer_scale_init_value": 1e-06,
+  "model_type": "convnext",
+  "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": "4.38.2"
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
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+size 111323316

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": "ConvNextFeatureExtractor",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "shortest_edge": 224
+  }
+}

runs/Mar29_22-22-11_46bea10b934f/events.out.tfevents.1711750949.46bea10b934f.8755.1

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+size 12282

training_args.bin

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