End of training
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- model.safetensors +1 -1
README.md
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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/
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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/r3v66ue0)
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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/kkjarptt)
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# fold_0
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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:
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- Precision: 0.
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- Recall: 0.
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- F1: 0.
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- Accuracy: 0.
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- Roc Auc: 0.
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- Pr Auc: 0.
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## Model description
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs:
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### Training results
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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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# fold_0
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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: 0.0427
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- Precision: 0.0
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- Recall: 0.0
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- F1: 0.0
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- Accuracy: 0.9986
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- Roc Auc: 0.7183
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- Pr Auc: 0.9951
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## Model description
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 10
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### Training results
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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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| 0.0452 | 1.0 | 632 | 0.0427 | 0.0 | 0.0 | 0.0 | 0.9986 | 0.7183 | 0.9951 |
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| 0.0389 | 2.0 | 1264 | 0.0447 | 0.0 | 0.0 | 0.0 | 0.9986 | 0.6241 | 0.9937 |
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| 0.0394 | 3.0 | 1896 | 0.0444 | 0.0 | 0.0 | 0.0 | 0.9986 | 0.6131 | 0.9934 |
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| 0.0388 | 4.0 | 2528 | 0.0445 | 0.0 | 0.0 | 0.0 | 0.9986 | 0.6169 | 0.9938 |
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### Framework versions
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model.safetensors
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