Commit
•
b5fb034
1
Parent(s):
831ac89
🍻 cheers
Browse files- README.md +12 -7
- all_results.json +16 -0
- config.json +1 -1
- eval_results.json +12 -0
- runs/Apr07_03-28-54_datavisu2/events.out.tfevents.1712665220.datavisu2.1419.1 +3 -0
- train_results.json +8 -0
- trainer_state.json +2090 -0
README.md
CHANGED
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@@ -1,6 +1,11 @@
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---
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-
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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# DinoVdeau-large-2024_04_03-with_data_aug_batch-size32_epochs150_freeze
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This model is a fine-tuned version of [
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It achieves the following results on the evaluation set:
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-
- Loss: 0.
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- F1 Micro: 0.
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- F1 Macro: 0.
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- Roc Auc: 0.
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- Accuracy: 0.
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- Learning Rate: 0.0000
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## Model description
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---
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language:
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- eng
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license: apache-2.0
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base_model: facebook/dinov2-large
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tags:
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- multilabel-image-classification
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- multilabel
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- generated_from_trainer
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metrics:
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- accuracy
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# DinoVdeau-large-2024_04_03-with_data_aug_batch-size32_epochs150_freeze
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This model is a fine-tuned version of [facebook/dinov2-large](https://huggingface.co/facebook/dinov2-large) on the multilabel_complete_dataset dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1181
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- F1 Micro: 0.8219
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- F1 Macro: 0.7131
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- Roc Auc: 0.8797
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- Accuracy: 0.3214
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- Learning Rate: 0.0000
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## Model description
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all_results.json
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{
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"epoch": 127.0,
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"eval_accuracy": 0.3214161749392572,
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"eval_f1_macro": 0.7130919408806389,
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"eval_f1_micro": 0.8219422171312205,
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"eval_loss": 0.11805282533168793,
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"eval_roc_auc": 0.8796827550466734,
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"eval_runtime": 695.0536,
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"eval_samples_per_second": 4.145,
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"eval_steps_per_second": 0.131,
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"learning_rate": 1.0000000000000002e-07,
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"train_loss": 0.0713793940258306,
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"train_runtime": 211000.3165,
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"train_samples_per_second": 6.162,
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"train_steps_per_second": 0.193
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}
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config.json
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{
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"_name_or_path": "
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"apply_layernorm": true,
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"architectures": [
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"NewheadDinov2ForImageClassification"
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{
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"_name_or_path": "facebook/dinov2-large2024_04_07",
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"apply_layernorm": true,
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"architectures": [
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"NewheadDinov2ForImageClassification"
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eval_results.json
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{
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"epoch": 127.0,
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"eval_accuracy": 0.3214161749392572,
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"eval_f1_macro": 0.7130919408806389,
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"eval_f1_micro": 0.8219422171312205,
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"eval_loss": 0.11805282533168793,
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"eval_roc_auc": 0.8796827550466734,
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"eval_runtime": 695.0536,
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"eval_samples_per_second": 4.145,
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"eval_steps_per_second": 0.131,
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"learning_rate": 1.0000000000000002e-07
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}
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runs/Apr07_03-28-54_datavisu2/events.out.tfevents.1712665220.datavisu2.1419.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:1c1a6e6501359d66fd41f5bcee69980c7be659f04660e50c5dc68d20439a004f
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size 634
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train_results.json
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{
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"epoch": 127.0,
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"learning_rate": 1.0000000000000002e-07,
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"train_loss": 0.0713793940258306,
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"train_runtime": 211000.3165,
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"train_samples_per_second": 6.162,
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"train_steps_per_second": 0.193
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}
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trainer_state.json
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