NeuronZero
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Commit
•
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Parent(s):
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Upload folder using huggingface_hub
Browse files- README.md +22 -0
- checkpoint-6411/config.json +62 -0
- checkpoint-6411/model.safetensors +3 -0
- checkpoint-6411/optimizer.pt +3 -0
- checkpoint-6411/rng_state.pth +3 -0
- checkpoint-6411/scheduler.pt +3 -0
- checkpoint-6411/trainer_state.json +126 -0
- checkpoint-6411/training_args.bin +3 -0
- config.json +62 -0
- model.safetensors +3 -0
- preprocessor_config.json +37 -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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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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datasets:
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- Falah/Blood_8_classes_Dataset
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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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No validation metrics available
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checkpoint-6411/config.json
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{
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"_name_or_path": "microsoft/resnet-50",
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"_num_labels": 8,
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"architectures": [
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"ResNetForImageClassification"
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],
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"depths": [
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3,
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],
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"downsample_in_bottleneck": false,
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"downsample_in_first_stage": false,
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"embedding_size": 64,
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"hidden_act": "relu",
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"hidden_sizes": [
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1024,
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2048
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],
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"id2label": {
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"0": "basophil",
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"1": "eosinophil",
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"2": "erythroblast",
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"3": "ig",
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"4": "lymphocyte",
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"5": "monocyte",
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"6": "neutrophil",
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"7": "platelet"
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"neutrophil": 6,
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"platelet": 7
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},
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"layer_type": "bottleneck",
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"model_type": "resnet",
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"num_channels": 3,
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"out_features": [
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"stage4"
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],
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"out_indices": [
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4
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],
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"problem_type": "single_label_classification",
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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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],
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"torch_dtype": "float32",
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"transformers_version": "4.39.0"
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}
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checkpoint-6411/model.safetensors
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checkpoint-6411/optimizer.pt
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checkpoint-6411/rng_state.pth
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checkpoint-6411/scheduler.pt
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checkpoint-6411/trainer_state.json
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}
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checkpoint-6411/training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:6f7855f212d39180a74392ed00777ae962b15e47ad4528f0eec431cc0dd2b574
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size 4920
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config.json
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{
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"architectures": [
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"ResNetForImageClassification"
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],
|
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"depths": [
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3,
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4,
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6,
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3
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512,
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"1": "eosinophil",
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"2": "erythroblast",
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"3": "ig",
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"4": "lymphocyte",
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"5": "monocyte",
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"6": "neutrophil",
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"7": "platelet"
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},
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"eosinophil": 1,
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},
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"stage4"
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],
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"out_indices": [
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4
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],
|
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"problem_type": "single_label_classification",
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"stage_names": [
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"stem",
|
55 |
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"stage1",
|
56 |
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"stage2",
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57 |
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"stage3",
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"stage4"
|
59 |
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],
|
60 |
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"torch_dtype": "float32",
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61 |
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"transformers_version": "4.39.0"
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}
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model.safetensors
ADDED
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|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:eb45a381a94d542f635e7a2536e4dcf04f8a597cc80df57f1fa1732077c9fff7
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size 94352152
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preprocessor_config.json
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|
|
|
1 |
+
{
|
2 |
+
"_valid_processor_keys": [
|
3 |
+
"images",
|
4 |
+
"do_resize",
|
5 |
+
"size",
|
6 |
+
"crop_pct",
|
7 |
+
"resample",
|
8 |
+
"do_rescale",
|
9 |
+
"rescale_factor",
|
10 |
+
"do_normalize",
|
11 |
+
"image_mean",
|
12 |
+
"image_std",
|
13 |
+
"return_tensors",
|
14 |
+
"data_format",
|
15 |
+
"input_data_format"
|
16 |
+
],
|
17 |
+
"crop_pct": 0.875,
|
18 |
+
"do_normalize": true,
|
19 |
+
"do_rescale": true,
|
20 |
+
"do_resize": true,
|
21 |
+
"image_mean": [
|
22 |
+
0.485,
|
23 |
+
0.456,
|
24 |
+
0.406
|
25 |
+
],
|
26 |
+
"image_processor_type": "ConvNextImageProcessor",
|
27 |
+
"image_std": [
|
28 |
+
0.229,
|
29 |
+
0.224,
|
30 |
+
0.225
|
31 |
+
],
|
32 |
+
"resample": 3,
|
33 |
+
"rescale_factor": 0.00392156862745098,
|
34 |
+
"size": {
|
35 |
+
"shortest_edge": 224
|
36 |
+
}
|
37 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:6f7855f212d39180a74392ed00777ae962b15e47ad4528f0eec431cc0dd2b574
|
3 |
+
size 4920
|
training_params.json
ADDED
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"data_path": "Falah/Blood_8_classes_Dataset",
|
3 |
+
"model": "microsoft/resnet-50",
|
4 |
+
"username": "NeuronZero",
|
5 |
+
"lr": 5e-05,
|
6 |
+
"epochs": 3,
|
7 |
+
"batch_size": 8,
|
8 |
+
"warmup_ratio": 0.1,
|
9 |
+
"gradient_accumulation": 1,
|
10 |
+
"optimizer": "adamw_torch",
|
11 |
+
"scheduler": "linear",
|
12 |
+
"weight_decay": 0.0,
|
13 |
+
"max_grad_norm": 1.0,
|
14 |
+
"seed": 42,
|
15 |
+
"train_split": "train",
|
16 |
+
"valid_split": null,
|
17 |
+
"logging_steps": -1,
|
18 |
+
"project_name": "WBC-Classifier",
|
19 |
+
"auto_find_batch_size": false,
|
20 |
+
"mixed_precision": "fp8",
|
21 |
+
"save_total_limit": 1,
|
22 |
+
"save_strategy": "epoch",
|
23 |
+
"push_to_hub": true,
|
24 |
+
"repo_id": "NeuronZero/WBC-Classifier",
|
25 |
+
"evaluation_strategy": "epoch",
|
26 |
+
"image_column": "image",
|
27 |
+
"target_column": "label",
|
28 |
+
"log": "none"
|
29 |
+
}
|