upload model
Browse files- .gitignore +2 -0
- README.md +134 -0
- all_results.json +12 -0
- config.json +231 -0
- eval_results.json +8 -0
- preprocessor_config.json +22 -0
- pytorch_model.bin +3 -0
- train_results.json +7 -0
- trainer_state.json +1114 -0
- training_args.bin +3 -0
.gitignore
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task_description.json
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*.log
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README.md
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---
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tags:
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- image-classification
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- vision
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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: lr6e-05
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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: food101
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type: food101
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config: default
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split: validation
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args: default
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.8971089108910891
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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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# vit-base-patch16-224-food101
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This model is a fine-tuned version of [eslamxm/vit-base-food101](https://huggingface.co/eslamxm/vit-base-food101) on the food101 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3856
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- Accuracy: 0.8971
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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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## Script
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```python
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"cmd_list": [
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"python",
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"run_image_classification.py",
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"--model_name_or_path",
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"eslamxm/vit-base-food101",
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"--dataset_name",
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"food101",
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"--output_dir",
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"<output_dir>",
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"--overwrite_output_dir",
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"--remove_unused_columns",
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"False",
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"--do_train",
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"--do_eval",
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"--optim",
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"adamw_torch",
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"--learning_rate",
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"6e-05",
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"--num_train_epochs",
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"3",
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"--dataloader_num_workers",
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"10",
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"--per_device_train_batch_size",
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"64",
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"--gradient_accumulation_steps",
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"2",
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"--per_device_eval_batch_size",
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"128",
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"--logging_strategy",
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"steps",
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"--logging_steps",
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"10",
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"--evaluation_strategy",
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"steps",
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"--eval_steps",
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"500",
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"--save_steps",
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"500",
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"--evaluation_strategy",
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"epoch",
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"--save_strategy",
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"epoch",
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"--load_best_model_at_end",
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"False",
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"--save_total_limit",
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"1",
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"--seed",
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"42",
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"--fp16"
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]
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```
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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: 6e-05
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- train_batch_size: 64
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- eval_batch_size: 128
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 128
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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: 3.0
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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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| 0.3687 | 1.0 | 592 | 0.4044 | 0.8889 |
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| 0.3422 | 2.0 | 1184 | 0.3911 | 0.8953 |
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| 0.3808 | 3.0 | 1776 | 0.3856 | 0.8971 |
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### Framework versions
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- Transformers 4.27.4
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- Pytorch 1.13.1
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- Datasets 2.11.0
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- Tokenizers 0.13.3
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all_results.json
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{
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"epoch": 3.0,
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"eval_accuracy": 0.8971089108910891,
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"eval_loss": 0.38559553027153015,
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"eval_runtime": 33.4525,
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"eval_samples_per_second": 754.801,
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"eval_steps_per_second": 5.919,
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"train_loss": 0.3829323179549999,
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"train_runtime": 916.6333,
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"train_samples_per_second": 247.918,
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"train_steps_per_second": 1.938
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}
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config.json
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{
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"_name_or_path": "/mnt/sh_flex_storage/home/yujiepan/vit-base-food101",
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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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"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": "cheesecake",
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"17": "cheese_plate",
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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": "17",
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"cheesecake": "16",
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"chicken_curry": "18",
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"chicken_quesadilla": "19",
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139 |
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"chicken_wings": "20",
|
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"chocolate_cake": "21",
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"chocolate_mousse": "22",
|
142 |
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"churros": "23",
|
143 |
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"clam_chowder": "24",
|
144 |
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"club_sandwich": "25",
|
145 |
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"crab_cakes": "26",
|
146 |
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"creme_brulee": "27",
|
147 |
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"croque_madame": "28",
|
148 |
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"cup_cakes": "29",
|
149 |
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"deviled_eggs": "30",
|
150 |
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"donuts": "31",
|
151 |
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"dumplings": "32",
|
152 |
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"edamame": "33",
|
153 |
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"eggs_benedict": "34",
|
154 |
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"escargots": "35",
|
155 |
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"falafel": "36",
|
156 |
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|
157 |
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|
158 |
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"foie_gras": "39",
|
159 |
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"french_fries": "40",
|
160 |
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"french_onion_soup": "41",
|
161 |
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"french_toast": "42",
|
162 |
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"fried_calamari": "43",
|
163 |
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"fried_rice": "44",
|
164 |
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"frozen_yogurt": "45",
|
165 |
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|
166 |
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"gnocchi": "47",
|
167 |
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"greek_salad": "48",
|
168 |
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|
169 |
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"grilled_salmon": "50",
|
170 |
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"guacamole": "51",
|
171 |
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"gyoza": "52",
|
172 |
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"hamburger": "53",
|
173 |
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|
174 |
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"hot_dog": "55",
|
175 |
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"huevos_rancheros": "56",
|
176 |
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"hummus": "57",
|
177 |
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"ice_cream": "58",
|
178 |
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"lasagna": "59",
|
179 |
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"lobster_bisque": "60",
|
180 |
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"lobster_roll_sandwich": "61",
|
181 |
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"macaroni_and_cheese": "62",
|
182 |
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"macarons": "63",
|
183 |
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"miso_soup": "64",
|
184 |
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"mussels": "65",
|
185 |
+
"nachos": "66",
|
186 |
+
"omelette": "67",
|
187 |
+
"onion_rings": "68",
|
188 |
+
"oysters": "69",
|
189 |
+
"pad_thai": "70",
|
190 |
+
"paella": "71",
|
191 |
+
"pancakes": "72",
|
192 |
+
"panna_cotta": "73",
|
193 |
+
"peking_duck": "74",
|
194 |
+
"pho": "75",
|
195 |
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"pizza": "76",
|
196 |
+
"pork_chop": "77",
|
197 |
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"poutine": "78",
|
198 |
+
"prime_rib": "79",
|
199 |
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"pulled_pork_sandwich": "80",
|
200 |
+
"ramen": "81",
|
201 |
+
"ravioli": "82",
|
202 |
+
"red_velvet_cake": "83",
|
203 |
+
"risotto": "84",
|
204 |
+
"samosa": "85",
|
205 |
+
"sashimi": "86",
|
206 |
+
"scallops": "87",
|
207 |
+
"seaweed_salad": "88",
|
208 |
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"shrimp_and_grits": "89",
|
209 |
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"spaghetti_bolognese": "90",
|
210 |
+
"spaghetti_carbonara": "91",
|
211 |
+
"spring_rolls": "92",
|
212 |
+
"steak": "93",
|
213 |
+
"strawberry_shortcake": "94",
|
214 |
+
"sushi": "95",
|
215 |
+
"tacos": "96",
|
216 |
+
"takoyaki": "97",
|
217 |
+
"tiramisu": "98",
|
218 |
+
"tuna_tartare": "99",
|
219 |
+
"waffles": "100"
|
220 |
+
},
|
221 |
+
"layer_norm_eps": 1e-12,
|
222 |
+
"model_type": "vit",
|
223 |
+
"num_attention_heads": 12,
|
224 |
+
"num_channels": 3,
|
225 |
+
"num_hidden_layers": 12,
|
226 |
+
"patch_size": 16,
|
227 |
+
"problem_type": "single_label_classification",
|
228 |
+
"qkv_bias": true,
|
229 |
+
"torch_dtype": "float32",
|
230 |
+
"transformers_version": "4.27.4"
|
231 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,8 @@
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|
1 |
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{
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"epoch": 3.0,
|
3 |
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"eval_accuracy": 0.8971089108910891,
|
4 |
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"eval_loss": 0.38559553027153015,
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5 |
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"eval_runtime": 33.4525,
|
6 |
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"eval_samples_per_second": 754.801,
|
7 |
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"eval_steps_per_second": 5.919
|
8 |
+
}
|
preprocessor_config.json
ADDED
@@ -0,0 +1,22 @@
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|
1 |
+
{
|
2 |
+
"do_normalize": true,
|
3 |
+
"do_rescale": true,
|
4 |
+
"do_resize": true,
|
5 |
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"image_mean": [
|
6 |
+
0.5,
|
7 |
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0.5,
|
8 |
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0.5
|
9 |
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],
|
10 |
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"image_processor_type": "ViTImageProcessor",
|
11 |
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"image_std": [
|
12 |
+
0.5,
|
13 |
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0.5,
|
14 |
+
0.5
|
15 |
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],
|
16 |
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"resample": 2,
|
17 |
+
"rescale_factor": 0.00392156862745098,
|
18 |
+
"size": {
|
19 |
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"height": 224,
|
20 |
+
"width": 224
|
21 |
+
}
|
22 |
+
}
|
pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
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|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:86a9f8e9e168929fa1bfb9ccaf6b0a3c543ccfc4345b28b7b895fb90b5e8c2a5
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3 |
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size 343573229
|
train_results.json
ADDED
@@ -0,0 +1,7 @@
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|
1 |
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{
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"train_loss": 0.3829323179549999,
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"train_runtime": 916.6333,
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"train_samples_per_second": 247.918,
|
6 |
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"train_steps_per_second": 1.938
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7 |
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}
|
trainer_state.json
ADDED
@@ -0,0 +1,1114 @@
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