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End of training

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  1. README.md +16 -22
  2. model.safetensors +1 -1
README.md CHANGED
@@ -16,24 +16,21 @@ model-index:
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- [<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)
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- [<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)
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- [<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)
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- [<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)
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- [<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)
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- [<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/vp363qmp)
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- [<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/10xzvwgi)
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- [<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/i1j07et7)
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  # fold_4
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  This model is a fine-tuned version of [Amna100/PreTraining-MLM](https://huggingface.co/Amna100/PreTraining-MLM) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0096
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- - Precision: 0.7641
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- - Recall: 0.6825
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- - F1: 0.7210
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- - Accuracy: 0.9995
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- - Roc Auc: 0.9961
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  - Pr Auc: 0.9999
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  ## Model description
@@ -65,14 +62,11 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | Roc Auc | Pr Auc |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|:-------:|:------:|
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- | 0.0278 | 1.0 | 632 | 0.0107 | 0.5932 | 0.7270 | 0.6533 | 0.9993 | 0.9948 | 0.9999 |
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- | 0.01 | 2.0 | 1264 | 0.0096 | 0.7641 | 0.6825 | 0.7210 | 0.9995 | 0.9961 | 0.9999 |
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- | 0.0056 | 3.0 | 1896 | 0.0131 | 0.7207 | 0.6202 | 0.6667 | 0.9994 | 0.9827 | 0.9997 |
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- | 0.0025 | 4.0 | 2528 | 0.0114 | 0.7937 | 0.6736 | 0.7287 | 0.9995 | 0.9860 | 0.9997 |
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- | 0.0012 | 5.0 | 3160 | 0.0141 | 0.7727 | 0.6558 | 0.7095 | 0.9995 | 0.9860 | 0.9998 |
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- | 0.0008 | 6.0 | 3792 | 0.0126 | 0.7659 | 0.6795 | 0.7201 | 0.9995 | 0.9894 | 0.9998 |
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- | 0.0007 | 7.0 | 4424 | 0.0146 | 0.7845 | 0.6588 | 0.7161 | 0.9995 | 0.9917 | 0.9998 |
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- | 0.0003 | 8.0 | 5056 | 0.0161 | 0.7789 | 0.6588 | 0.7138 | 0.9995 | 0.9908 | 0.9998 |
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  ### Framework versions
 
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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+ [<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)
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+ [<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)
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+ [<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)
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+ [<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)
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+ [<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/geyuezlx)
 
 
 
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  # fold_4
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  This model is a fine-tuned version of [Amna100/PreTraining-MLM](https://huggingface.co/Amna100/PreTraining-MLM) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0087
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+ - Precision: 0.6815
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+ - Recall: 0.6257
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+ - F1: 0.6524
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+ - Accuracy: 0.9994
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+ - Roc Auc: 0.9964
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  - Pr Auc: 0.9999
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  ## Model description
 
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | Roc Auc | Pr Auc |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|:-------:|:------:|
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+ | 0.0371 | 1.0 | 632 | 0.0188 | 0.8481 | 0.1959 | 0.3183 | 0.9991 | 0.9803 | 0.9996 |
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+ | 0.0137 | 2.0 | 1264 | 0.0087 | 0.6815 | 0.6257 | 0.6524 | 0.9994 | 0.9964 | 0.9999 |
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+ | 0.0078 | 3.0 | 1896 | 0.0094 | 0.6262 | 0.7690 | 0.6903 | 0.9993 | 0.9976 | 0.9999 |
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+ | 0.0029 | 4.0 | 2528 | 0.0111 | 0.6216 | 0.7251 | 0.6694 | 0.9993 | 0.9965 | 0.9999 |
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+ | 0.0018 | 5.0 | 3160 | 0.0125 | 0.8044 | 0.6374 | 0.7113 | 0.9995 | 0.9967 | 0.9999 |
 
 
 
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  ### Framework versions
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