Commit
•
25c63a6
1
Parent(s):
a0e178e
🍻 cheers
Browse files- README.md +10 -6
- all_results.json +16 -0
- config.json +1 -1
- eval_results.json +12 -0
- train_results.json +8 -0
- trainer_state.json +1775 -0
README.md
CHANGED
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@@ -1,7 +1,11 @@
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---
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license: apache-2.0
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base_model: facebook/dinov2-base
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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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@@ -15,13 +19,13 @@ should probably proofread and complete it, then remove this comment. -->
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# dino-base-2023_11_27-with_custom_head
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This model is a fine-tuned version of [facebook/dinov2-base](https://huggingface.co/facebook/dinov2-base) on the
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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-base
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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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# dino-base-2023_11_27-with_custom_head
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+
This model is a fine-tuned version of [facebook/dinov2-base](https://huggingface.co/facebook/dinov2-base) on the multilabel_complete_dataset dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1028
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- F1 Micro: 0.8515
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- F1 Macro: 0.8179
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- Roc Auc: 0.9057
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- Accuracy: 0.5716
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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": 90.0,
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"eval_accuracy": 0.5716297078493489,
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"eval_f1_macro": 0.8179000572616444,
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"eval_f1_micro": 0.8515016354445436,
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"eval_loss": 0.1028159111738205,
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"eval_roc_auc": 0.9056864620607311,
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"eval_runtime": 666.1885,
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"eval_samples_per_second": 4.265,
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"eval_steps_per_second": 0.267,
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"learning_rate": 1.0000000000000002e-06,
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"train_loss": 0.13765035268679188,
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"train_runtime": 238196.7751,
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"train_samples_per_second": 3.237,
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"train_steps_per_second": 0.203
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}
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config.json
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{
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"_name_or_path": "facebook/dinov2-
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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-base2023_11_27",
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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": 90.0,
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"eval_accuracy": 0.5716297078493489,
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"eval_f1_macro": 0.8179000572616444,
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"eval_f1_micro": 0.8515016354445436,
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"eval_loss": 0.1028159111738205,
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"eval_roc_auc": 0.9056864620607311,
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"eval_runtime": 666.1885,
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"eval_samples_per_second": 4.265,
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"eval_steps_per_second": 0.267,
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"learning_rate": 1.0000000000000002e-06
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}
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train_results.json
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{
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"epoch": 90.0,
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"learning_rate": 1.0000000000000002e-06,
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"train_loss": 0.13765035268679188,
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"train_runtime": 238196.7751,
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"train_samples_per_second": 3.237,
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"train_steps_per_second": 0.203
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}
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trainer_state.json
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