End of training

README.md

@@ -16,20 +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-Repeatedfold/runs/lvieenf2)
-[<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-Repeatedfold/runs/fgis28rc)
-[<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-Repeatedfold/runs/9tw0vsla)
-[<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-Repeatedfold/runs/ccjl3n87)
+[<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-change2/runs/zkyqf4w8)
+[<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-change2/runs/n6lnsbeg)
+[<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-change2/runs/k9jhon43)
+[<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-change2/runs/67sviuwh)
+[<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-change2/runs/e4zmtw0z)
+[<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-change2/runs/ykmsii48)
 # fold_3
 
 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: 0.0107
-- Precision: 0.7923
-- Recall: 0.6297
-- F1: 0.7017
+- Loss: 0.0104
+- Precision: 0.6792
+- Recall: 0.5870
+- F1: 0.6297
 - Accuracy: 0.9993
-- Roc Auc: 0.9951
+- Roc Auc: 0.9967
 - Pr Auc: 0.9999
 
 ## Model description
@@ -55,23 +57,22 @@ 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: 10
+- num_epochs: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy | Roc Auc | Pr Auc |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|:-------:|:------:|
-| 0.0275        | 1.0   | 632  | 0.0138          | 0.6206    | 0.4976 | 0.5524 | 0.9991   | 0.9926  | 0.9998 |
-| 0.0096        | 2.0   | 1264 | 0.0136          | 0.5756    | 0.7358 | 0.6460 | 0.9991   | 0.9958  | 0.9998 |
-| 0.006         | 3.0   | 1896 | 0.0107          | 0.7923    | 0.6297 | 0.7017 | 0.9993   | 0.9951  | 0.9999 |
-| 0.0023        | 4.0   | 2528 | 0.0137          | 0.7813    | 0.6910 | 0.7334 | 0.9994   | 0.9898  | 0.9998 |
-| 0.0011        | 5.0   | 3160 | 0.0141          | 0.7978    | 0.6887 | 0.7392 | 0.9994   | 0.9943  | 0.9999 |
-| 0.001         | 6.0   | 3792 | 0.0159          | 0.7812    | 0.7075 | 0.7426 | 0.9993   | 0.9865  | 0.9998 |
+| 0.0252        | 1.0   | 711  | 0.0159          | 0.4538    | 0.6413 | 0.5315 | 0.9988   | 0.9944  | 0.9998 |
+| 0.0095        | 2.0   | 1422 | 0.0104          | 0.6792    | 0.5870 | 0.6297 | 0.9993   | 0.9967  | 0.9999 |
+| 0.003         | 3.0   | 2133 | 0.0106          | 0.6432    | 0.6957 | 0.6684 | 0.9993   | 0.9973  | 0.9999 |
+| 0.0024        | 4.0   | 2844 | 0.0126          | 0.7006    | 0.6739 | 0.6870 | 0.9994   | 0.9960  | 0.9999 |
+| 0.0004        | 5.0   | 3555 | 0.0148          | 0.7239    | 0.6413 | 0.6801 | 0.9994   | 0.9954  | 0.9999 |
 
 
 ### Framework versions
 
-- Transformers 4.41.0.dev0
-- Pytorch 2.2.1+cu121
+- Transformers 4.42.0.dev0
+- Pytorch 2.3.0+cu121
 - Datasets 2.19.1
 - Tokenizers 0.19.1

model.safetensors

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