Model save

README.md

@@ -1,14 +1,9 @@
 ---
-library_name: transformers
+library_name: peft
 license: apache-2.0
 base_model: facebook/dinov2-small
 tags:
 - generated_from_trainer
-metrics:
-- accuracy
-- f1
-- recall
-- precision
 model-index:
 - name: dinov2_LoRA_Liveness_detection_v1.0
   results: []
@@ -17,21 +12,10 @@ model-index:
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/nguyenkhoaht002/liveness_detection/runs/isfrd6lh)
-[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/nguyenkhoaht002/liveness_detection/runs/isfrd6lh)
-[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/nguyenkhoaht002/liveness_detection/runs/isfrd6lh)
-[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/nguyenkhoaht002/liveness_detection/runs/isfrd6lh)
-[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/nguyenkhoaht002/liveness_detection/runs/isfrd6lh)
-[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/nguyenkhoaht002/liveness_detection/runs/isfrd6lh)
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/nguyenkhoaht002/liveness_detection/runs/qt5odc7e)
 # dinov2_LoRA_Liveness_detection_v1.0
 
 This model is a fine-tuned version of [facebook/dinov2-small](https://huggingface.co/facebook/dinov2-small) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.5907
-- Accuracy: 0.73
-- F1: 0.6161
-- Recall: 0.73
-- Precision: 1.0
 
 ## Model description
 
@@ -51,7 +35,7 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 128
+- train_batch_size: 512
 - eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
@@ -59,20 +43,10 @@ The following hyperparameters were used during training:
 - num_epochs: 3
 - mixed_precision_training: Native AMP
 
-### Training results
-
-| Training Loss | Epoch  | Step | Validation Loss | Accuracy | F1     | Recall | Precision |
-|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|:------:|:---------:|
-| No log        | 0.5714 | 4    | 0.9313          | 0.73     | 0.6161 | 0.73   | 1.0       |
-| No log        | 1.1429 | 8    | 0.8139          | 0.73     | 0.6161 | 0.73   | 1.0       |
-| No log        | 1.7143 | 12   | 1.0522          | 0.73     | 0.6161 | 0.73   | 1.0       |
-| 1.5763        | 2.2857 | 16   | 0.8668          | 0.285    | 0.1614 | 0.285  | 0.9305    |
-| 1.5763        | 2.8571 | 20   | 0.5907          | 0.73     | 0.6161 | 0.73   | 1.0       |
-
-
 ### Framework versions
 
+- PEFT 0.14.0
 - Transformers 4.44.2
 - Pytorch 2.4.1+cu121
 - Datasets 3.2.0
-- Tokenizers 0.19.1
+- Tokenizers 0.19.1

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