End of training

README.md

@@ -16,18 +16,20 @@ 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-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)
 # fold_0
 
 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: 0.0427
-- Precision: 0.0
-- Recall: 0.0
-- F1: 0.0
-- Accuracy: 0.9986
-- Roc Auc: 0.7183
-- Pr Auc: 0.9951
+- Loss: 0.0105
+- Precision: 0.7006
+- Recall: 0.5978
+- F1: 0.6452
+- Accuracy: 0.9993
+- Roc Auc: 0.9968
+- Pr Auc: 0.9999
 
 ## Model description
 
@@ -52,21 +54,22 @@ 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 |
-|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|:-------:|:------:|
-| 0.0452        | 1.0   | 632  | 0.0427          | 0.0       | 0.0    | 0.0 | 0.9986   | 0.7183  | 0.9951 |
-| 0.0389        | 2.0   | 1264 | 0.0447          | 0.0       | 0.0    | 0.0 | 0.9986   | 0.6241  | 0.9937 |
-| 0.0394        | 3.0   | 1896 | 0.0444          | 0.0       | 0.0    | 0.0 | 0.9986   | 0.6131  | 0.9934 |
-| 0.0388        | 4.0   | 2528 | 0.0445          | 0.0       | 0.0    | 0.0 | 0.9986   | 0.6169  | 0.9938 |
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy | Roc Auc | Pr Auc |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|:-------:|:------:|
+| 0.0265        | 1.0   | 711  | 0.0162          | 0.4318    | 0.6196 | 0.5089 | 0.9987   | 0.9959  | 0.9998 |
+| 0.0098        | 2.0   | 1422 | 0.0105          | 0.7006    | 0.5978 | 0.6452 | 0.9993   | 0.9968  | 0.9999 |
+| 0.0038        | 3.0   | 2133 | 0.0123          | 0.6169    | 0.6739 | 0.6442 | 0.9992   | 0.9966  | 0.9999 |
+| 0.0022        | 4.0   | 2844 | 0.0138          | 0.7006    | 0.6359 | 0.6667 | 0.9994   | 0.9963  | 0.9999 |
+| 0.0004        | 5.0   | 3555 | 0.0151          | 0.7262    | 0.6630 | 0.6932 | 0.9994   | 0.9957  | 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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