Commit
·
4fefd76
1
Parent(s):
bab815b
Add evaluation results and output files to model card
Browse files- README.md +6 -6
- checkpoint-5768/config.json +22 -0
- checkpoint-5768/model.safetensors +3 -0
- checkpoint-5768/optimizer.pt +3 -0
- checkpoint-5768/preprocessor_config.json +23 -0
- checkpoint-5768/rng_state.pth +3 -0
- checkpoint-5768/scheduler.pt +3 -0
- checkpoint-5768/trainer_state.json +0 -0
- checkpoint-5768/training_args.bin +3 -0
- checkpoint-5796/config.json +22 -0
- checkpoint-5796/model.safetensors +3 -0
- checkpoint-5796/optimizer.pt +3 -0
- checkpoint-5796/preprocessor_config.json +23 -0
- checkpoint-5796/rng_state.pth +3 -0
- checkpoint-5796/scheduler.pt +3 -0
- checkpoint-5796/trainer_state.json +0 -0
- checkpoint-5796/training_args.bin +3 -0
- config.json +0 -1
- model.safetensors +1 -1
- pr_curve.png +0 -0
- roc_curve.png +0 -0
README.md
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@@ -5,18 +5,18 @@ tags:
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- model
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- evaluation
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metrics:
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- average_precision: 0.
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- roc_auc: 0.
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- best threshold according to F1: 0.
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---
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# Binary Classification Model
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## Evaluation Results
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**Average Precision:** 0.
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**ROC AUC:** 0.
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**best threshold according to F1: 0.
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## Visualizations
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- model
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- evaluation
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metrics:
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- average_precision: 0.98
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- roc_auc: 0.96
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- best threshold according to F1: 0.40
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---
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# Binary Classification Model
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## Evaluation Results
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**Average Precision:** 0.98
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**ROC AUC:** 0.96
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**best threshold according to F1: 0.40
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## Visualizations
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checkpoint-5768/config.json
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{
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"architectures": [
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"ViTForImageClassification"
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],
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"attention_probs_dropout_prob": 0.0,
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"encoder_stride": 16,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.0,
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"hidden_size": 256,
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"image_size": 64,
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"initializer_range": 0.02,
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"intermediate_size": 512,
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"layer_norm_eps": 1e-12,
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"model_type": "vit",
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"num_attention_heads": 8,
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"num_channels": 3,
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"num_hidden_layers": 4,
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"patch_size": 4,
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"qkv_bias": true,
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"torch_dtype": "float32",
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"transformers_version": "4.48.0"
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}
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checkpoint-5768/model.safetensors
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checkpoint-5768/optimizer.pt
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checkpoint-5768/preprocessor_config.json
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{
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"do_convert_rgb": null,
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"do_normalize": true,
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"do_rescale": true,
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"do_resize": false,
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"image_processor_type": "ViTFeatureExtractor",
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"image_std": [
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"resample": 2,
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"size": {
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"height": 32,
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"width": 32
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}
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}
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checkpoint-5768/rng_state.pth
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checkpoint-5768/scheduler.pt
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checkpoint-5768/trainer_state.json
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checkpoint-5768/training_args.bin
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size 5432
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checkpoint-5796/config.json
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{
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"architectures": [
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"ViTForImageClassification"
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],
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"attention_probs_dropout_prob": 0.0,
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"encoder_stride": 16,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.0,
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"hidden_size": 256,
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"image_size": 64,
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"initializer_range": 0.02,
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"intermediate_size": 512,
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"layer_norm_eps": 1e-12,
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"model_type": "vit",
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"num_attention_heads": 8,
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"num_channels": 3,
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"num_hidden_layers": 4,
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"patch_size": 4,
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"qkv_bias": true,
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"torch_dtype": "float32",
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"transformers_version": "4.48.0"
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}
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checkpoint-5796/model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 8760128
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checkpoint-5796/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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size 17564858
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checkpoint-5796/preprocessor_config.json
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{
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"do_convert_rgb": null,
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"do_normalize": true,
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"do_rescale": true,
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"do_resize": false,
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"image_mean": [
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0.5,
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0.5,
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0.5
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],
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"image_processor_type": "ViTFeatureExtractor",
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"image_std": [
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0.5,
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0.5,
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0.5
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"resample": 2,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"height": 32,
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"width": 32
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}
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}
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checkpoint-5796/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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size 14244
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checkpoint-5796/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-5796/trainer_state.json
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The diff for this file is too large to render.
See raw diff
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checkpoint-5796/training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:729c98a3454f877bb02e02eb03a9afd37d090de798b73cc3e798ca5a6e30396b
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size 5432
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config.json
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{
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"_name_or_path": "GenetikaPlus/binary_classification_model_v3.1.5_Junction_batch2",
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"architectures": [
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"ViTForImageClassification"
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],
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{
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"architectures": [
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"ViTForImageClassification"
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],
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 8760128
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size 8760128
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pr_curve.png
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roc_curve.png
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