Model save
Browse files
README.md
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---
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license: apache-2.0
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base_model: NTQAI/pedestrian_gender_recognition
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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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model-index:
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- name: NTQAI_pedestrian_gender_recognition_v1
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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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# NTQAI_pedestrian_gender_recognition_v1
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This model is a fine-tuned version of [NTQAI/pedestrian_gender_recognition](https://huggingface.co/NTQAI/pedestrian_gender_recognition) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1918
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- Accuracy: 0.92
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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: 9e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 64
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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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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 3
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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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| 0.4561 | 0.96 | 12 | 0.2296 | 0.92 |
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| 0.3486 | 2.0 | 25 | 0.1873 | 0.93 |
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| 0.2995 | 2.88 | 36 | 0.1918 | 0.92 |
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### Framework versions
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- Transformers 4.38.2
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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": "NTQAI/pedestrian_gender_recognition",
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"add_fpn": false,
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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": "Female",
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"1": "Male"
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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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"Female": 0,
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"Male": 1
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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_features": [
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"stage3",
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"stage5",
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"stage7",
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"stage11"
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],
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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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"reshape_hidden_states": true,
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"semantic_loss_ignore_index": 255,
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"stage_names": [
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"stem",
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"stage1",
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"stage2",
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"stage3",
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"stage4",
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"stage5",
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"stage6",
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"stage7",
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"stage8",
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"stage9",
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"stage10",
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"stage11",
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"stage12"
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],
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"torch_dtype": "float32",
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"transformers_version": "4.38.2",
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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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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:715b06b47812bbec40a96bb0fee1ca165353987dae6f333888ad643dfb663ff0
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size 343080328
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preprocessor_config.json
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{
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"crop_size": {
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"height": 224,
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"width": 224
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},
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"do_center_crop": false,
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"do_normalize": true,
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"do_reduce_labels": false,
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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": "BeitFeatureExtractor",
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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/Mar20_01-39-33_e7588fdd1fb5/events.out.tfevents.1710898821.e7588fdd1fb5.860.0
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version https://git-lfs.github.com/spec/v1
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size 5639
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runs/Mar20_01-51-10_e7588fdd1fb5/events.out.tfevents.1710899496.e7588fdd1fb5.860.1
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version https://git-lfs.github.com/spec/v1
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size 7559
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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:ab232f19758544bdbae7e122237816b22e09313610f12ccd8f2fe667175c8a0a
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size 4984
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