Model save
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README.md
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---
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license: apache-2.0
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base_model: google/vit-base-patch16-224-in21k
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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- precision
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- recall
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- f1
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model-index:
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- name: finetuned-indian-food
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results: []
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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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# finetuned-indian-food
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This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2293
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- Accuracy: 0.9405
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- Precision: 0.9395
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- Recall: 0.9420
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- F1: 0.9402
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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: Adam with betas=(0.9,0.999) and epsilon=1e-08
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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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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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| 0.8589 | 0.3 | 100 | 0.5618 | 0.8714 | 0.8981 | 0.8620 | 0.8696 |
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| 0.6973 | 0.6 | 200 | 0.5544 | 0.8608 | 0.8742 | 0.8690 | 0.8630 |
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| 0.4078 | 0.9 | 300 | 0.4671 | 0.8831 | 0.8915 | 0.8840 | 0.8812 |
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| 0.3818 | 1.2 | 400 | 0.4203 | 0.8884 | 0.9017 | 0.8864 | 0.8877 |
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| 0.2262 | 1.5 | 500 | 0.3481 | 0.9107 | 0.9177 | 0.9085 | 0.9098 |
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| 0.2137 | 1.8 | 600 | 0.3761 | 0.9022 | 0.9094 | 0.9027 | 0.9026 |
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| 0.4515 | 2.1 | 700 | 0.3722 | 0.9044 | 0.9091 | 0.9041 | 0.9017 |
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| 0.3024 | 2.4 | 800 | 0.3105 | 0.9203 | 0.9198 | 0.9220 | 0.9188 |
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| 0.1748 | 2.7 | 900 | 0.2767 | 0.9288 | 0.9274 | 0.9293 | 0.9272 |
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| 0.1959 | 3.0 | 1000 | 0.2825 | 0.9256 | 0.9318 | 0.9243 | 0.9230 |
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| 0.1663 | 3.3 | 1100 | 0.2549 | 0.9341 | 0.9362 | 0.9366 | 0.9356 |
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| 0.0513 | 3.6 | 1200 | 0.2254 | 0.9416 | 0.9436 | 0.9422 | 0.9424 |
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| 0.1478 | 3.9 | 1300 | 0.2293 | 0.9405 | 0.9395 | 0.9420 | 0.9402 |
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### Framework versions
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- Transformers 4.39.3
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- Pytorch 2.2.1+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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config.json
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{
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"_name_or_path": "google/vit-base-patch16-224-in21k",
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"architectures": [
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"ViTForImageClassification"
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],
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"attention_probs_dropout_prob": 0.0,
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"encoder_stride": 16,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.0,
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"hidden_size": 768,
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"id2label": {
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"0": "burger",
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"1": "butter_naan",
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"10": "kaathi_rolls",
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"11": "kadai_paneer",
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"12": "kulfi",
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"13": "masala_dosa",
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"14": "momos",
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"15": "paani_puri",
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"16": "pakode",
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"17": "pav_bhaji",
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"18": "pizza",
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"19": "samosa",
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"2": "chai",
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"3": "chapati",
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"4": "chole_bhature",
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"5": "dal_makhani",
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"6": "dhokla",
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"7": "fried_rice",
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"8": "idli",
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"9": "jalebi"
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},
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"image_size": 224,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"burger": "0",
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"butter_naan": "1",
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"chai": "2",
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"chapati": "3",
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"chole_bhature": "4",
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"dal_makhani": "5",
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"dhokla": "6",
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"fried_rice": "7",
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"idli": "8",
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"jalebi": "9",
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"kaathi_rolls": "10",
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"kadai_paneer": "11",
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"kulfi": "12",
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"masala_dosa": "13",
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"momos": "14",
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"paani_puri": "15",
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"pakode": "16",
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"pav_bhaji": "17",
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"pizza": "18",
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"samosa": "19"
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},
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"layer_norm_eps": 1e-12,
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"model_type": "vit",
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"num_attention_heads": 12,
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"num_channels": 3,
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"num_hidden_layers": 12,
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"patch_size": 16,
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"problem_type": "single_label_classification",
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"qkv_bias": true,
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"torch_dtype": "float32",
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"transformers_version": "4.39.3"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e5e836d3398a19623ddbd799d794037d33e6821c4a15c0b41602f1319b7a4e10
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size 343279344
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preprocessor_config.json
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{
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"_valid_processor_keys": [
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"images",
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"do_resize",
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"size",
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"resample",
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"do_rescale",
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"rescale_factor",
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"do_normalize",
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"image_mean",
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"image_std",
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"return_tensors",
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"data_format",
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"input_data_format"
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],
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"do_normalize": true,
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"do_rescale": true,
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"do_resize": true,
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"image_mean": [
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0.5,
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0.5,
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0.5
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],
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"image_processor_type": "ViTFeatureExtractor",
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"image_std": [
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0.5,
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0.5,
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0.5
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],
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"resample": 2,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"height": 224,
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"width": 224
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}
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}
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runs/Apr09_19-13-47_dcd6c694ee6d/events.out.tfevents.1712690184.dcd6c694ee6d.985.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:0eeef3d7cd9286c5da3fa7967aa6b3f412bd09241570ac78718eb859b6e4092c
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size 7030
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runs/Apr09_19-13-47_dcd6c694ee6d/events.out.tfevents.1712690267.dcd6c694ee6d.985.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:3e4a0912840c4fb4605e65d047c624b93134de05cb77503dafac9450bedad46e
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size 39919
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:a81b835e5642bd802ff15acfcde5a7768463237f15df4a3180f27431970634cd
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size 4920
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