Upload folder using huggingface_hub
Browse files- README.md +31 -0
- checkpoint-270/config.json +34 -0
- checkpoint-270/model.safetensors +3 -0
- checkpoint-270/optimizer.pt +3 -0
- checkpoint-270/rng_state.pth +3 -0
- checkpoint-270/scheduler.pt +3 -0
- checkpoint-270/trainer_state.json +1052 -0
- checkpoint-270/training_args.bin +3 -0
- config.json +34 -0
- model.safetensors +3 -0
- preprocessor_config.json +26 -0
- runs/Jul31_13-24-57_r-chispidev-ia-banana-fwzg7678-62e49-8u7fh/events.out.tfevents.1722432298.r-chispidev-ia-banana-fwzg7678-62e49-8u7fh.147.0 +2 -2
- runs/Jul31_13-24-57_r-chispidev-ia-banana-fwzg7678-62e49-8u7fh/events.out.tfevents.1722432616.r-chispidev-ia-banana-fwzg7678-62e49-8u7fh.147.1 +3 -0
- training_args.bin +3 -0
- training_params.json +29 -0
README.md
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---
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tags:
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- autotrain
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- image-classification
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base_model: google/mobilenet_v2_1.0_224
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widget:
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- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
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example_title: Tiger
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- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
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example_title: Teapot
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- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/palace.jpg
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example_title: Palace
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---
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# Model Trained Using AutoTrain
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- Problem type: Image Classification
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## Validation Metrics
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loss: 0.42044156789779663
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f1: 0.9361702127659575
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precision: 0.88
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recall: 1.0
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auc: 0.8340909090909091
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accuracy: 0.8888888888888888
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checkpoint-270/config.json
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{
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"_name_or_path": "google/mobilenet_v2_1.0_224",
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"_num_labels": 2,
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"architectures": [
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"MobileNetV2ForImageClassification"
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],
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"classifier_dropout_prob": 0.2,
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"depth_divisible_by": 8,
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"depth_multiplier": 1.0,
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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": "rotten banana",
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"1": "yellow banana"
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},
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"image_size": 224,
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"initializer_range": 0.02,
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"label2id": {
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"rotten banana": 0,
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"yellow banana": 1
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},
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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": "4.43.1"
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}
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checkpoint-270/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:4f8aa363d171b4e520dac9d00149698714b8f5c90b1a6327e4b9f4d35fd97233
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size 9080216
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checkpoint-270/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:6495cd5a1a68af10dd3adf057e0464a349556dfa1f73ea2cab5850a18bc1dd6d
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size 17939322
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checkpoint-270/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:31f98014c52404d9bd685338d13c07e11f3be1c58c712812368c6d4ec102c8a8
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size 13990
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checkpoint-270/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:259ffb58c0acaf40e622dd34936c6507d4f7114a47fe31c6997724ffab4fdd83
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size 1064
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checkpoint-270/trainer_state.json
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version https://git-lfs.github.com/spec/v1
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runs/Jul31_13-24-57_r-chispidev-ia-banana-fwzg7678-62e49-8u7fh/events.out.tfevents.1722432616.r-chispidev-ia-banana-fwzg7678-62e49-8u7fh.147.1
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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size 607
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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size 5240
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training_params.json
ADDED
@@ -0,0 +1,29 @@
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{
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"data_path": "autotrain-pky99-ias73/autotrain-data",
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"model": "google/mobilenet_v2_1.0_224",
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"username": "ChispiDEV",
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"lr": 5e-05,
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"epochs": 10,
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"batch_size": 4,
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"optimizer": "adamw_torch",
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"scheduler": "linear",
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"weight_decay": 0.0,
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"max_grad_norm": 1.0,
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"seed": 42,
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"train_split": "train",
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"valid_split": "validation",
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"logging_steps": -1,
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"project_name": "autotrain-pky99-ias73",
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"auto_find_batch_size": false,
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"mixed_precision": "fp16",
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"save_total_limit": 1,
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"push_to_hub": true,
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"eval_strategy": "epoch",
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"image_column": "autotrain_image",
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"target_column": "autotrain_label",
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"log": "tensorboard",
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"early_stopping_patience": 5,
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"early_stopping_threshold": 0.01
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}
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