nhanv commited on
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README.md ADDED
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+ ---
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+ license: apache-2.0
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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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+ - imagefolder
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: pedestrian_age_recognition_local
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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: imagefolder
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+ type: imagefolder
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+ config: default
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+ split: train
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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: 0.8073394495412844
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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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+ # pedestrian_age_recognition_local
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+
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+ This model is a fine-tuned version of [microsoft/beit-base-patch16-224-pt22k-ft22k](https://huggingface.co/microsoft/beit-base-patch16-224-pt22k-ft22k) on the imagefolder dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.5004
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+ - Accuracy: 0.8073
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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: 2e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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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: 10.0
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:-----:|:---------------:|:--------:|
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+ | 0.8849 | 1.0 | 2008 | 0.7939 | 0.6807 |
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+ | 0.9836 | 2.0 | 4016 | 0.6694 | 0.7336 |
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+ | 0.8128 | 3.0 | 6024 | 0.5768 | 0.7668 |
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+ | 0.7611 | 4.0 | 8032 | 0.5541 | 0.7833 |
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+ | 0.6441 | 5.0 | 10040 | 0.5473 | 0.7773 |
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+ | 0.5696 | 6.0 | 12048 | 0.5187 | 0.7971 |
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+ | 0.6925 | 7.0 | 14056 | 0.5082 | 0.8038 |
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+ | 0.5711 | 8.0 | 16064 | 0.5092 | 0.8098 |
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+ | 0.7741 | 9.0 | 18072 | 0.5026 | 0.8020 |
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+ | 0.5269 | 10.0 | 20080 | 0.5004 | 0.8073 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.24.0.dev0
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+ - Pytorch 1.12.1+cu113
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+ - Datasets 2.6.1
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+ - Tokenizers 0.13.1
all_results.json ADDED
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+ {
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+ "epoch": 10.0,
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+ "eval_accuracy": 0.8073394495412844,
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+ "eval_loss": 0.5004011988639832,
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+ "eval_runtime": 12.5118,
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+ "eval_samples_per_second": 226.507,
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+ "eval_steps_per_second": 28.373,
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+ "train_loss": 0.6558418143674197,
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+ "train_runtime": 2165.352,
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+ "train_samples_per_second": 74.163,
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+ "train_steps_per_second": 9.273
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+ }
config.json ADDED
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+ {
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+ "_name_or_path": "microsoft/beit-base-patch16-224-pt22k-ft22k",
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+ "architectures": [
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+ "BeitForImageClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.0,
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+ "auxiliary_channels": 256,
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+ "auxiliary_concat_input": false,
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+ "auxiliary_loss_weight": 0.4,
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+ "auxiliary_num_convs": 1,
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+ "drop_path_rate": 0.1,
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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": "Age16-30",
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+ "1": "Age31-45",
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+ "2": "Age46-60",
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+ "3": "AgeAbove60",
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+ "4": "AgeLess15"
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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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+ "Age16-30": "0",
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+ "Age31-45": "1",
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+ "Age46-60": "2",
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+ "AgeAbove60": "3",
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+ "AgeLess15": "4"
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+ },
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+ "layer_norm_eps": 1e-12,
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+ "layer_scale_init_value": 0.1,
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+ "model_type": "beit",
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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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+ "out_indices": [
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+ 3,
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+ 5,
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+ 7,
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+ 11
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+ ],
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+ "patch_size": 16,
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+ "pool_scales": [
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+ 1,
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+ 2,
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+ 3,
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+ 6
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+ ],
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+ "problem_type": "single_label_classification",
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+ "semantic_loss_ignore_index": 255,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.24.0.dev0",
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+ "use_absolute_position_embeddings": false,
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+ "use_auxiliary_head": true,
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+ "use_mask_token": false,
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+ "use_mean_pooling": true,
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+ "use_relative_position_bias": true,
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+ "use_shared_relative_position_bias": false,
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+ "vocab_size": 8192
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+ }
emissions.csv ADDED
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+ timestamp,experiment_id,project_name,duration,emissions,energy_consumed,country_name,country_iso_code,region,on_cloud,cloud_provider,cloud_region
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+ 2023-01-09T04:16:19,62af6737-a71e-47e2-a59d-8f5e4546552b,codecarbon,2168.368220806122,0.15662584062475365,0.2143468409392291,Vietnam,VNM,hanoi,N,,
eval_results.json ADDED
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+ {
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+ "epoch": 10.0,
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+ "eval_accuracy": 0.8073394495412844,
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+ "eval_loss": 0.5004011988639832,
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+ "eval_runtime": 12.5118,
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+ "eval_samples_per_second": 226.507,
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+ "eval_steps_per_second": 28.373
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+ }
preprocessor_config.json ADDED
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+ {
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+ "crop_size": 224,
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+ "do_center_crop": false,
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+ "do_normalize": true,
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+ "do_resize": true,
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+ "feature_extractor_type": "BeitFeatureExtractor",
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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_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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+ "reduce_labels": false,
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+ "resample": 2,
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+ "size": 224
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+ }
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train_results.json ADDED
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+ {
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+ "epoch": 10.0,
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+ "train_runtime": 2165.352,
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+ "train_samples_per_second": 74.163,
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+ "train_steps_per_second": 9.273
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+ }
trainer_state.json ADDED
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