Image Classification
Transformers
PyTorch
TensorBoard
mobilenet_v2
Generated from Trainer
Eval Results (legacy)
Instructions to use Woleek/day-night with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Woleek/day-night with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Woleek/day-night") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("Woleek/day-night") model = AutoModelForImageClassification.from_pretrained("Woleek/day-night", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Test passed
Browse files- all_results.json +17 -0
- config.json +17 -32
- eval_results.json +8 -0
- preprocessor_config.json +14 -11
- pytorch_model.bin +2 -2
- runs/Aug30_14-29-36_surveily-ag-02/events.out.tfevents.1693398700.surveily-ag-02.5833.3 +3 -0
- runs/Aug31_10-33-05_surveily-ag-02/events.out.tfevents.1693470786.surveily-ag-02.5559.0 +3 -0
- runs/Aug31_10-33-05_surveily-ag-02/events.out.tfevents.1693470800.surveily-ag-02.5559.1 +3 -0
- runs/Aug31_10-45-42_surveily-ag-02/events.out.tfevents.1693471542.surveily-ag-02.5559.2 +3 -0
- runs/Aug31_10-45-42_surveily-ag-02/events.out.tfevents.1693471618.surveily-ag-02.5559.3 +3 -0
- runs/Aug31_10-49-15_surveily-ag-02/events.out.tfevents.1693471755.surveily-ag-02.5559.4 +3 -0
- runs/Aug31_10-49-15_surveily-ag-02/events.out.tfevents.1693471822.surveily-ag-02.5559.5 +3 -0
- runs/Aug31_11-01-42_surveily-ag-02/events.out.tfevents.1693472502.surveily-ag-02.5559.6 +3 -0
- runs/Aug31_11-01-42_surveily-ag-02/events.out.tfevents.1693472571.surveily-ag-02.5559.7 +3 -0
- runs/Aug31_11-11-25_surveily-ag-02/events.out.tfevents.1693473085.surveily-ag-02.5559.8 +3 -0
- runs/Aug31_11-11-25_surveily-ag-02/events.out.tfevents.1693473243.surveily-ag-02.5559.9 +3 -0
- runs/Aug31_11-26-23_surveily-ag-02/events.out.tfevents.1693473984.surveily-ag-02.6479.0 +3 -0
- runs/Aug31_11-26-23_surveily-ag-02/events.out.tfevents.1693474252.surveily-ag-02.6479.1 +3 -0
- test_results.json +7 -0
- train_results.json +7 -0
- trainer_state.json +193 -0
- training_args.bin +2 -2
all_results.json
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{
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"epoch": 5.0,
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"eval_accuracy": 0.9988452655889145,
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"eval_loss": 0.0029988216701895,
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"eval_runtime": 7.4103,
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"eval_samples_per_second": 116.864,
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"eval_steps_per_second": 14.709,
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"test_accuracy": 0.9,
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"test_loss": 0.5731536149978638,
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"test_runtime": 0.4078,
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"test_samples_per_second": 49.045,
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"test_steps_per_second": 7.357,
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"train_loss": 0.05322713415537562,
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"train_runtime": 260.1266,
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"train_samples_per_second": 64.507,
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"train_steps_per_second": 6.458
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}
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config.json
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"embedding_size": 64,
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"hidden_act": "relu",
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"hidden_sizes": [
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"id2label": {
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"0": "day",
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"1": "night"
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"label2id": {
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"day": "0",
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"night": "1"
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"problem_type": "single_label_classification",
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"transformers_version": "4.31.0"
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"_name_or_path": "google/mobilenet_v2_0.75_160",
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"architectures": [
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"MobileNetV2ForImageClassification"
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"classifier_dropout_prob": 0.2,
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"depth_divisible_by": 8,
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"depth_multiplier": 0.75,
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"expand_ratio": 6,
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"finegrained_output": true,
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"first_layer_is_expansion": true,
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"hidden_act": "relu6",
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"id2label": {
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"0": "day",
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"1": "night"
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"image_size": 160,
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"initializer_range": 0.02,
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"label2id": {
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"day": "0",
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"night": "1"
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"layer_norm_eps": 0.001,
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"min_depth": 8,
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"model_type": "mobilenet_v2",
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"num_channels": 3,
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"output_stride": 32,
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"problem_type": "single_label_classification",
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"semantic_loss_ignore_index": 255,
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"tf_padding": true,
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"torch_dtype": "float32",
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"transformers_version": "4.31.0"
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eval_results.json
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{
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"epoch": 5.0,
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"eval_accuracy": 0.9988452655889145,
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"eval_loss": 0.0029988216701895,
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"eval_runtime": 7.4103,
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"eval_samples_per_second": 116.864,
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"eval_steps_per_second": 14.709
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preprocessor_config.json
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test_results.json
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train_results.json
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{
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"epoch": 5.0,
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"train_loss": 0.05322713415537562,
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"train_runtime": 260.1266,
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"train_samples_per_second": 64.507,
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"train_steps_per_second": 6.458
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}
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trainer_state.json
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