Training in progress, epoch 10

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:
@@ -14,14 +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/5pwbb8xy)
-[<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/5pwbb8xy)
+[<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/qhj1jlcv)
+[<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/qhj1jlcv)
 # 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: 0.9730
-- Accuracy: 0.864
 
 ## Model description
 
@@ -51,22 +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 |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 4.1613        | 1.0   | 10   | 3.8451          | 0.724    |
-| 3.4345        | 2.0   | 20   | 3.0721          | 0.804    |
-| 2.7561        | 3.0   | 30   | 2.3697          | 0.824    |
-| 2.232         | 4.0   | 40   | 1.8310          | 0.829    |
-| 1.9281        | 5.0   | 50   | 1.4671          | 0.838    |
-| 1.6365        | 6.0   | 60   | 1.2424          | 0.845    |
-| 1.4967        | 7.0   | 70   | 1.1090          | 0.849    |
-| 1.3976        | 8.0   | 80   | 1.0282          | 0.857    |
-| 1.3563        | 9.0   | 90   | 0.9865          | 0.863    |
-| 1.4012        | 10.0  | 100  | 0.9730          | 0.864    |
-
-
 ### Framework versions
 
 - PEFT 0.13.0

adapter_model.safetensors

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