init
Browse files- README.md +77 -0
- all_results.json +12 -0
- config.json +228 -0
- eval_results.json +8 -0
- preprocessor_config.json +17 -0
- train_results.json +7 -0
- trainer_state.json +958 -0
- training_args.bin +3 -0
README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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datasets:
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- food101
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metrics:
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- accuracy
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model_index:
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- name: food101_outputs
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results:
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- task:
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name: Image Classification
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type: image-classification
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dataset:
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name: nateraw/food101
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type: food101
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args: default
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metric:
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name: Accuracy
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type: accuracy
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value: 0.8912871287128713
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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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# food101_outputs
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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 the nateraw/food101 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4501
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- Accuracy: 0.8913
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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: 128
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- eval_batch_size: 128
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- seed: 1337
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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: 5.0
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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 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.8271 | 1.0 | 592 | 0.6070 | 0.8562 |
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| 0.4376 | 2.0 | 1184 | 0.4947 | 0.8691 |
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| 0.2089 | 3.0 | 1776 | 0.4876 | 0.8747 |
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| 0.0882 | 4.0 | 2368 | 0.4639 | 0.8857 |
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| 0.0452 | 5.0 | 2960 | 0.4501 | 0.8913 |
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### Framework versions
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- Transformers 4.9.0.dev0
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- Pytorch 1.9.0+cu102
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- Datasets 1.9.1.dev0
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- Tokenizers 0.10.3
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all_results.json
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{
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"epoch": 5.0,
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"eval_accuracy": 0.8912871287128713,
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"eval_loss": 0.45006364583969116,
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"eval_runtime": 107.735,
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"eval_samples_per_second": 234.371,
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"eval_steps_per_second": 1.838,
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"train_loss": 0.48942885282071863,
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"train_runtime": 2221.2523,
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"train_samples_per_second": 170.512,
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"train_steps_per_second": 1.333
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}
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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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"finetuning_task": "image-classification",
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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": "apple_pie",
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"1": "baby_back_ribs",
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"10": "bruschetta",
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"100": "waffles",
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"11": "caesar_salad",
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"12": "cannoli",
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"13": "caprese_salad",
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"14": "carrot_cake",
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"15": "ceviche",
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"16": "cheese_plate",
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"17": "cheesecake",
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"18": "chicken_curry",
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"19": "chicken_quesadilla",
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"2": "baklava",
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"20": "chicken_wings",
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"21": "chocolate_cake",
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"22": "chocolate_mousse",
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"23": "churros",
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"24": "clam_chowder",
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"25": "club_sandwich",
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"26": "crab_cakes",
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"27": "creme_brulee",
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"28": "croque_madame",
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"29": "cup_cakes",
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"3": "beef_carpaccio",
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"30": "deviled_eggs",
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"31": "donuts",
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"32": "dumplings",
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"33": "edamame",
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"34": "eggs_benedict",
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"35": "escargots",
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"36": "falafel",
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"37": "filet_mignon",
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"38": "fish_and_chips",
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"39": "foie_gras",
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"4": "beef_tartare",
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"40": "french_fries",
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"41": "french_onion_soup",
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"42": "french_toast",
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"43": "fried_calamari",
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"44": "fried_rice",
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"45": "frozen_yogurt",
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"46": "garlic_bread",
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"47": "gnocchi",
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"48": "greek_salad",
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"49": "grilled_cheese_sandwich",
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"5": "beet_salad",
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"50": "grilled_salmon",
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"51": "guacamole",
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"52": "gyoza",
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"53": "hamburger",
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"54": "hot_and_sour_soup",
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"55": "hot_dog",
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"56": "huevos_rancheros",
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"57": "hummus",
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"58": "ice_cream",
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"59": "lasagna",
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"6": "beignets",
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"60": "lobster_bisque",
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"61": "lobster_roll_sandwich",
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"62": "macaroni_and_cheese",
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"63": "macarons",
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"64": "miso_soup",
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"65": "mussels",
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"66": "nachos",
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"67": "omelette",
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"68": "onion_rings",
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"69": "oysters",
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"7": "bibimbap",
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"70": "pad_thai",
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"71": "paella",
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"72": "pancakes",
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"73": "panna_cotta",
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"74": "peking_duck",
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"75": "pho",
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"76": "pizza",
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"77": "pork_chop",
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"78": "poutine",
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"79": "prime_rib",
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"8": "bread_pudding",
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"80": "pulled_pork_sandwich",
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"81": "ramen",
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"82": "ravioli",
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"83": "red_velvet_cake",
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"84": "risotto",
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"85": "samosa",
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"86": "sashimi",
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"87": "scallops",
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"88": "seaweed_salad",
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"89": "shrimp_and_grits",
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"9": "breakfast_burrito",
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"90": "spaghetti_bolognese",
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"91": "spaghetti_carbonara",
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"92": "spring_rolls",
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"93": "steak",
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"94": "strawberry_shortcake",
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"95": "sushi",
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"96": "tacos",
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"97": "takoyaki",
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"98": "tiramisu",
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"99": "tuna_tartare"
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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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"apple_pie": "0",
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"baby_back_ribs": "1",
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"baklava": "2",
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"beef_carpaccio": "3",
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"beef_tartare": "4",
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"beet_salad": "5",
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"beignets": "6",
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"bibimbap": "7",
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"bread_pudding": "8",
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"breakfast_burrito": "9",
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"bruschetta": "10",
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"caesar_salad": "11",
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"cannoli": "12",
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"caprese_salad": "13",
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"carrot_cake": "14",
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"ceviche": "15",
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"cheese_plate": "16",
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"cheesecake": "17",
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"chicken_curry": "18",
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"chicken_quesadilla": "19",
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"chicken_wings": "20",
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"chocolate_cake": "21",
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"chocolate_mousse": "22",
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"churros": "23",
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"clam_chowder": "24",
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"club_sandwich": "25",
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"crab_cakes": "26",
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145 |
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"creme_brulee": "27",
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146 |
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"croque_madame": "28",
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147 |
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"cup_cakes": "29",
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"deviled_eggs": "30",
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"donuts": "31",
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150 |
+
"dumplings": "32",
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151 |
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"edamame": "33",
|
152 |
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"eggs_benedict": "34",
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153 |
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"escargots": "35",
|
154 |
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"falafel": "36",
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155 |
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"filet_mignon": "37",
|
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"fish_and_chips": "38",
|
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"foie_gras": "39",
|
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"french_fries": "40",
|
159 |
+
"french_onion_soup": "41",
|
160 |
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"french_toast": "42",
|
161 |
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"fried_calamari": "43",
|
162 |
+
"fried_rice": "44",
|
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+
"frozen_yogurt": "45",
|
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+
"garlic_bread": "46",
|
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+
"gnocchi": "47",
|
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+
"greek_salad": "48",
|
167 |
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"grilled_cheese_sandwich": "49",
|
168 |
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"grilled_salmon": "50",
|
169 |
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"guacamole": "51",
|
170 |
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"gyoza": "52",
|
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+
"hamburger": "53",
|
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"hot_and_sour_soup": "54",
|
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"hot_dog": "55",
|
174 |
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"huevos_rancheros": "56",
|
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"hummus": "57",
|
176 |
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"ice_cream": "58",
|
177 |
+
"lasagna": "59",
|
178 |
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"lobster_bisque": "60",
|
179 |
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"lobster_roll_sandwich": "61",
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180 |
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"macaroni_and_cheese": "62",
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181 |
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"macarons": "63",
|
182 |
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"miso_soup": "64",
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"mussels": "65",
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"nachos": "66",
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185 |
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"omelette": "67",
|
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"onion_rings": "68",
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"oysters": "69",
|
188 |
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"pad_thai": "70",
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"paella": "71",
|
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"pancakes": "72",
|
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"panna_cotta": "73",
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192 |
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"peking_duck": "74",
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193 |
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"pho": "75",
|
194 |
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"pizza": "76",
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"pork_chop": "77",
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196 |
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"poutine": "78",
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"prime_rib": "79",
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"pulled_pork_sandwich": "80",
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"ramen": "81",
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200 |
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"ravioli": "82",
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"red_velvet_cake": "83",
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"risotto": "84",
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"samosa": "85",
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"sashimi": "86",
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"scallops": "87",
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"seaweed_salad": "88",
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207 |
+
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208 |
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"spaghetti_bolognese": "90",
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209 |
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"spaghetti_carbonara": "91",
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210 |
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"spring_rolls": "92",
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211 |
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"steak": "93",
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212 |
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213 |
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"sushi": "95",
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214 |
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"tacos": "96",
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215 |
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216 |
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"tiramisu": "98",
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217 |
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"tuna_tartare": "99",
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218 |
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"waffles": "100"
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219 |
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220 |
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221 |
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228 |
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eval_results.json
ADDED
@@ -0,0 +1,8 @@
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preprocessor_config.json
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@@ -0,0 +1,17 @@
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train_results.json
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@@ -0,0 +1,7 @@
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trainer_state.json
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|
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|
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|
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"step": 2960
|
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},
|
943 |
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{
|
944 |
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|
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|
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|
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"train_samples_per_second": 170.512,
|
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|
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|
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|
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|
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"trial_name": null,
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|
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|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
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oid sha256:854337aa979b4d66fa7b7c37eeeed817ea454fd96fce3eeddd27799e56c2a3d1
|
3 |
+
size 2671
|