End of training

README.md

@@ -7,6 +7,7 @@ metrics:
 - precision
 - recall
 - f1
+- accuracy
 model-index:
 - name: fold_1
   results: []
@@ -15,20 +16,22 @@ 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/amnasaeed100/FineTuning-ADE-change1/runs/94wgcdtp)
-[<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/amnasaeed100/FineTuning-ADE-change1/runs/8g0cixov)
-[<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/amnasaeed100/FineTuning-ADE-change1/runs/05nc4r5u)
-[<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/amnasaeed100/FineTuning-ADE-change1/runs/2tfkcyde)
+[<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/wbresearch/FineTuning-ADE-DropOUT/runs/rw6sjeap)
+[<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/wbresearch/FineTuning-ADE-DropOUT/runs/g4pyaj7k)
+[<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/wbresearch/FineTuning-ADE-DropOUT/runs/t4il24wd)
+[<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/wbresearch/FineTuning-ADE-DropOUT/runs/qf2ywrxq)
+[<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/wbresearch/FineTuning-ADE-DropOUT/runs/9xmjfnoc)
 # fold_1
 
 This model is a fine-tuned version of [Amna100/PreTraining-MLM](https://huggingface.co/Amna100/PreTraining-MLM) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0131
-- Precision: 0.1834
-- Recall: 0.3042
-- F1: 0.5248
-- Pr Auc: 0.5714
-- Roc Auc: 0.9127
+- Loss: 0.0113
+- Precision: 0.7155
+- Recall: 0.7233
+- F1: 0.7194
+- Accuracy: 0.9993
+- Roc Auc: 0.9952
+- Pr Auc: 0.9999
 
 ## Model description
 
@@ -53,17 +56,21 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 5
+- num_epochs: 10
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Pr Auc | Roc Auc |
-|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:------:|:-------:|
-| 0.0301        | 1.0   | 630  | 0.0137          | 0.3745    | 0.9507 | 0.7320 | 0.5328 | 0.9247  |
-| 0.0105        | 2.0   | 1260 | 0.0111          | 0.5987    | 0.1560 | 0.1560 | 0.5481 | 0.9394  |
-| 0.0076        | 3.0   | 1890 | 0.0111          | 0.0581    | 0.8662 | 0.6011 | 0.5585 | 0.9254  |
-| 0.0019        | 4.0   | 2520 | 0.0117          | 0.7081    | 0.0206 | 0.9699 | 0.6215 | 0.9370  |
-| 0.0012        | 5.0   | 3150 | 0.0131          | 0.8324    | 0.2123 | 0.1818 | 0.5714 | 0.9127  |
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy | Roc Auc | Pr Auc |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|:-------:|:------:|
+| 0.0241        | 1.0   | 632  | 0.0123          | 0.6317    | 0.6427 | 0.6371 | 0.9991   | 0.9958  | 0.9999 |
+| 0.0098        | 2.0   | 1264 | 0.0114          | 0.8436    | 0.6580 | 0.7393 | 0.9994   | 0.9946  | 0.9998 |
+| 0.0062        | 3.0   | 1896 | 0.0113          | 0.7155    | 0.7233 | 0.7194 | 0.9993   | 0.9952  | 0.9999 |
+| 0.0021        | 4.0   | 2528 | 0.0132          | 0.7990    | 0.6841 | 0.7371 | 0.9993   | 0.9944  | 0.9998 |
+| 0.0013        | 5.0   | 3160 | 0.0145          | 0.7783    | 0.7037 | 0.7391 | 0.9993   | 0.9956  | 0.9998 |
+| 0.001         | 6.0   | 3792 | 0.0159          | 0.7730    | 0.7495 | 0.7611 | 0.9994   | 0.9958  | 0.9998 |
+| 0.0004        | 7.0   | 4424 | 0.0143          | 0.7104    | 0.7908 | 0.7485 | 0.9993   | 0.9964  | 0.9999 |
+| 0.0002        | 8.0   | 5056 | 0.0173          | 0.8005    | 0.7255 | 0.7611 | 0.9994   | 0.9951  | 0.9999 |
+| 0.0002        | 9.0   | 5688 | 0.0176          | 0.7981    | 0.7233 | 0.7589 | 0.9993   | 0.9948  | 0.9999 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:00ee1d99cb3ea0f82dcdc3b7faf8a8d753b42680720237d1806b002a6e47f4e8
 size 554446244