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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4,
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6,
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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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256,
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512,
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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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},
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"label2id": {
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"basophil": 0,
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"eosinophil": 1,
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"erythroblast": 2,
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"ig": 3,
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"lymphocyte": 4,
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"monocyte": 5,
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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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size 94352152
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checkpoint-6411/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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size 188326330
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checkpoint-6411/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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checkpoint-6411/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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size 1064
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checkpoint-6411/trainer_state.json
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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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| 15 |
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"embedding_size": 64,
|
| 16 |
+
"hidden_act": "relu",
|
| 17 |
+
"hidden_sizes": [
|
| 18 |
+
256,
|
| 19 |
+
512,
|
| 20 |
+
1024,
|
| 21 |
+
2048
|
| 22 |
+
],
|
| 23 |
+
"id2label": {
|
| 24 |
+
"0": "basophil",
|
| 25 |
+
"1": "eosinophil",
|
| 26 |
+
"2": "erythroblast",
|
| 27 |
+
"3": "ig",
|
| 28 |
+
"4": "lymphocyte",
|
| 29 |
+
"5": "monocyte",
|
| 30 |
+
"6": "neutrophil",
|
| 31 |
+
"7": "platelet"
|
| 32 |
+
},
|
| 33 |
+
"label2id": {
|
| 34 |
+
"basophil": 0,
|
| 35 |
+
"eosinophil": 1,
|
| 36 |
+
"erythroblast": 2,
|
| 37 |
+
"ig": 3,
|
| 38 |
+
"lymphocyte": 4,
|
| 39 |
+
"monocyte": 5,
|
| 40 |
+
"neutrophil": 6,
|
| 41 |
+
"platelet": 7
|
| 42 |
+
},
|
| 43 |
+
"layer_type": "bottleneck",
|
| 44 |
+
"model_type": "resnet",
|
| 45 |
+
"num_channels": 3,
|
| 46 |
+
"out_features": [
|
| 47 |
+
"stage4"
|
| 48 |
+
],
|
| 49 |
+
"out_indices": [
|
| 50 |
+
4
|
| 51 |
+
],
|
| 52 |
+
"problem_type": "single_label_classification",
|
| 53 |
+
"stage_names": [
|
| 54 |
+
"stem",
|
| 55 |
+
"stage1",
|
| 56 |
+
"stage2",
|
| 57 |
+
"stage3",
|
| 58 |
+
"stage4"
|
| 59 |
+
],
|
| 60 |
+
"torch_dtype": "float32",
|
| 61 |
+
"transformers_version": "4.39.0"
|
| 62 |
+
}
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:eb45a381a94d542f635e7a2536e4dcf04f8a597cc80df57f1fa1732077c9fff7
|
| 3 |
+
size 94352152
|
preprocessor_config.json
ADDED
|
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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 |
+
}
|