Model save

README.md

@@ -2,8 +2,6 @@
 base_model: google/vit-base-patch16-224-in21k
 library_name: peft
 license: apache-2.0
-metrics:
-- accuracy
 tags:
 - generated_from_trainer
 model-index:
@@ -14,16 +12,11 @@ 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/sajjadi/Fast-PEFT/runs/odh4f4wu)
-[<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/sajjadi/Fast-PEFT/runs/odh4f4wu)
+[<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/sajjadi/Fast-PEFT/runs/tgqidpek)
+[<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/sajjadi/Fast-PEFT/runs/tgqidpek)
 # vit-base-patch16-224-in21k-lora
 
 This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.3331
-- Accuracy: 0.9056
-- Pca Pca Loss: 0.7451
-- Pca Pca Accuracy: 0.8259
 
 ## Model description
 
@@ -53,22 +46,6 @@ The following hyperparameters were used during training:
 - num_epochs: 10
 - mixed_precision_training: Native AMP
 
-### Training results
-
-| Training Loss | Epoch  | Step | Validation Loss | Accuracy | Pca Loss | Pca Accuracy |
-|:-------------:|:------:|:----:|:---------------:|:--------:|:--------:|:------------:|
-| 1.0483        | 0.9923 | 97   | 0.5685          | 0.873    | 1.1522   | 0.8107       |
-| 0.9044        | 1.9949 | 195  | 0.4295          | 0.8893   | 0.9273   | 0.818        |
-| 0.8868        | 2.9974 | 293  | 0.3884          | 0.8957   | 0.8502   | 0.8201       |
-| 0.8951        | 4.0    | 391  | 0.3675          | 0.8973   | 0.8084   | 0.8234       |
-| 0.6836        | 4.9923 | 488  | 0.3538          | 0.8987   | 0.7831   | 0.824        |
-| 0.9149        | 5.9949 | 586  | 0.3447          | 0.9013   | 0.7664   | 0.8239       |
-| 0.8324        | 6.9974 | 684  | 0.3408          | 0.9025   | 0.7561   | 0.8254       |
-| 0.8634        | 8.0    | 782  | 0.3368          | 0.9041   | 0.7499   | 0.825        |
-| 0.8308        | 8.9923 | 879  | 0.3339          | 0.9053   | 0.7463   | 0.8261       |
-| 0.7785        | 9.9233 | 970  | 0.3331          | 0.9056   | 0.7451   | 0.8259       |
-
-
 ### Framework versions
 
 - PEFT 0.13.0

adapter_model.safetensors

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