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finetuned-for-YogaPoses-v2

Image Classification
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mobilenet_v2
Generated from Trainer
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  1. README.md +50 -0
  2. config.json +38 -0
  3. model.safetensors +3 -0
  4. runs/Dec06_13-40-12_bb36e6d5cf3b/events.out.tfevents.1733492484.bb36e6d5cf3b.184.0 +3 -0
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  11. training_args.bin +3 -0
README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: other
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+ base_model: google/mobilenet_v2_1.0_224
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: finetuned-for-YogaPoses-v2
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # finetuned-for-YogaPoses-v2
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+
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+ This model is a fine-tuned version of [google/mobilenet_v2_1.0_224](https://huggingface.co/google/mobilenet_v2_1.0_224) on an unknown dataset.
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.0002
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+ - train_batch_size: 16
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - num_epochs: 4
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+ - mixed_precision_training: Native AMP
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+
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+ ### Framework versions
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+
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+ - Transformers 4.46.3
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+ - Pytorch 2.5.1+cu121
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+ - Datasets 3.1.0
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+ - Tokenizers 0.20.3
config.json ADDED
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+ {
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+ "_name_or_path": "google/mobilenet_v2_1.0_224",
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+ "architectures": [
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+ "MobileNetV2ForImageClassification"
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+ ],
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+ "classifier_dropout_prob": 0.2,
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+ "depth_divisible_by": 8,
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+ "depth_multiplier": 1.0,
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+ "expand_ratio": 6,
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+ "finegrained_output": true,
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+ "first_layer_is_expansion": true,
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+ "hidden_act": "relu6",
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+ "id2label": {
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+ "0": "Downdog",
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+ "1": "Goddess",
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+ "2": "Plank",
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+ "3": "Tree",
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+ "4": "Warrior2"
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+ },
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+ "image_size": 224,
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+ "initializer_range": 0.02,
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+ "label2id": {
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+ "Downdog": "0",
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+ "Goddess": "1",
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+ "Plank": "2",
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+ "Tree": "3",
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+ "Warrior2": "4"
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+ },
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+ "layer_norm_eps": 0.001,
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+ "min_depth": 8,
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+ "model_type": "mobilenet_v2",
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+ "num_channels": 3,
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+ "output_stride": 32,
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+ "semantic_loss_ignore_index": 255,
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+ "tf_padding": true,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.46.3"
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+ }
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