Instructions to use iamhmh/autotrain-isic-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iamhmh/autotrain-isic-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="iamhmh/autotrain-isic-classification") 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("iamhmh/autotrain-isic-classification") model = AutoModelForImageClassification.from_pretrained("iamhmh/autotrain-isic-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files- README.md +44 -0
- checkpoint-7599/config.json +65 -0
- checkpoint-7599/model.safetensors +3 -0
- checkpoint-7599/optimizer.pt +3 -0
- checkpoint-7599/rng_state.pth +3 -0
- checkpoint-7599/scheduler.pt +3 -0
- checkpoint-7599/trainer_state.json +2217 -0
- checkpoint-7599/training_args.bin +3 -0
- config.json +65 -0
- model.safetensors +3 -0
- preprocessor_config.json +22 -0
- runs/Jun05_13-55-19_r-iamhmh-vit-large-patch16-224-in21k-isic-classificat-2871wsmxr/events.out.tfevents.1780667721.r-iamhmh-vit-large-patch16-224-in21k-isic-classificat-2871wsmxr.66.0 +2 -2
- runs/Jun05_13-55-19_r-iamhmh-vit-large-patch16-224-in21k-isic-classificat-2871wsmxr/events.out.tfevents.1780721202.r-iamhmh-vit-large-patch16-224-in21k-isic-classificat-2871wsmxr.66.1 +3 -0
- training_args.bin +3 -0
- training_params.json +29 -0
README.md
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---
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| 3 |
+
tags:
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- autotrain
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- transformers
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| 6 |
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- image-classification
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| 7 |
+
base_model: facebook/convnext-base-224-22k-1k
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| 8 |
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widget:
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| 9 |
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- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
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| 10 |
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example_title: Tiger
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| 11 |
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- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
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| 12 |
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example_title: Teapot
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| 13 |
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- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/palace.jpg
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| 14 |
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example_title: Palace
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| 15 |
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datasets:
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| 16 |
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- iamhmh/Skin-Lesion-Dataset-cls
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| 17 |
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---
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| 18 |
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# Model Trained Using AutoTrain
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| 20 |
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- Problem type: Image Classification
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## Validation Metrics
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loss: 0.43574896454811096
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f1_macro: 0.7652355174728005
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+
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+
f1_micro: 0.8454706927175843
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+
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+
f1_weighted: 0.8408555162880879
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| 31 |
+
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| 32 |
+
precision_macro: 0.8044349451647841
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| 33 |
+
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| 34 |
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precision_micro: 0.8454706927175843
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| 35 |
+
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| 36 |
+
precision_weighted: 0.8433307863044311
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| 37 |
+
|
| 38 |
+
recall_macro: 0.737854710508238
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| 39 |
+
|
| 40 |
+
recall_micro: 0.8454706927175843
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| 41 |
+
|
| 42 |
+
recall_weighted: 0.8454706927175843
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| 43 |
+
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| 44 |
+
accuracy: 0.8454706927175843
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checkpoint-7599/config.json
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{
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"_name_or_path": "facebook/convnext-base-224-22k-1k",
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"_num_labels": 8,
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| 4 |
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"architectures": [
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| 5 |
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"ConvNextForImageClassification"
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],
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"depths": [
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3,
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3,
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27,
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3
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],
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"drop_path_rate": 0.0,
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"hidden_act": "gelu",
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"hidden_sizes": [
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128,
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256,
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512,
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| 19 |
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1024
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| 20 |
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],
|
| 21 |
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"id2label": {
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| 22 |
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"0": "Actinic keratosis",
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| 23 |
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"1": "Basal cell carcinoma",
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| 24 |
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"2": "Benign keratosis",
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| 25 |
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"3": "Dermatofibroma",
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| 26 |
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"4": "Melanocytic nevus",
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| 27 |
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"5": "Melanoma",
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| 28 |
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"6": "Squamous cell carcinoma",
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| 29 |
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"7": "Vascular lesion"
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| 30 |
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},
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| 31 |
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"image_size": 224,
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| 32 |
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"initializer_range": 0.02,
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| 33 |
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"label2id": {
|
| 34 |
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"Actinic keratosis": 0,
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| 35 |
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"Basal cell carcinoma": 1,
|
| 36 |
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"Benign keratosis": 2,
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| 37 |
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"Dermatofibroma": 3,
|
| 38 |
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"Melanocytic nevus": 4,
|
| 39 |
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"Melanoma": 5,
|
| 40 |
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"Squamous cell carcinoma": 6,
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| 41 |
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"Vascular lesion": 7
|
| 42 |
+
},
|
| 43 |
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"layer_norm_eps": 1e-12,
|
| 44 |
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"layer_scale_init_value": 1e-06,
|
| 45 |
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"model_type": "convnext",
|
| 46 |
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"num_channels": 3,
|
| 47 |
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"num_stages": 4,
|
| 48 |
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"out_features": [
|
| 49 |
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"stage4"
|
| 50 |
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],
|
| 51 |
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"out_indices": [
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| 52 |
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4
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| 53 |
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],
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| 54 |
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"patch_size": 4,
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| 55 |
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"problem_type": "single_label_classification",
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| 56 |
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"stage_names": [
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| 57 |
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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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| 63 |
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"torch_dtype": "float32",
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| 64 |
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"transformers_version": "4.48.0"
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}
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checkpoint-7599/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:2fe4d93d6bd489381fe9208a61ce52e463a66262634b0a26aa230542b49fb69c
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size 350339816
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checkpoint-7599/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:6075d8c764fd31f96c3f8a12754c4fae67346d6d436f80f50e2f8180eaf1ff1d
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size 700875418
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checkpoint-7599/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:ddf7cbb8a895087798abbfdd757b7aa6b51ebecb531825f3c3497b9e2ffffccd
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size 13990
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checkpoint-7599/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:4c9ba617c0e22723448e7ec3b0695f1902c753edb254aca6ce1157ee2acfde5e
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size 1064
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checkpoint-7599/trainer_state.json
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| 1 |
+
{
|
| 2 |
+
"best_metric": 0.43574896454811096,
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| 2203 |
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| 2204 |
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|
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|
| 2206 |
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|
| 2207 |
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|
| 2208 |
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| 2210 |
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|
| 2211 |
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| 2212 |
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|
| 2216 |
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|
| 2217 |
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checkpoint-7599/training_args.bin
ADDED
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size 5432
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config.json
ADDED
|
@@ -0,0 +1,65 @@
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|
| 2 |
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|
| 3 |
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|
| 4 |
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|
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|
| 24 |
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|
| 25 |
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"3": "Dermatofibroma",
|
| 26 |
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|
| 27 |
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| 28 |
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| 29 |
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|
| 30 |
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|
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| 39 |
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| 40 |
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| 41 |
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| 42 |
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},
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|
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| 49 |
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| 50 |
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| 51 |
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| 52 |
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| 53 |
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|
| 57 |
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| 58 |
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| 59 |
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| 60 |
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| 61 |
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|
| 62 |
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|
| 63 |
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|
| 64 |
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model.safetensors
ADDED
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preprocessor_config.json
ADDED
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runs/Jun05_13-55-19_r-iamhmh-vit-large-patch16-224-in21k-isic-classificat-2871wsmxr/events.out.tfevents.1780667721.r-iamhmh-vit-large-patch16-224-in21k-isic-classificat-2871wsmxr.66.0
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training_args.bin
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training_params.json
ADDED
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