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End of training

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  1. README.md +15 -11
  2. model.safetensors +1 -1
README.md CHANGED
@@ -16,20 +16,18 @@ 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/amnasaeed100/FineTuning-ADE-Repeatedfold/runs/8ncpraou)
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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: 1.5237
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- - Precision: 0.0016
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- - Recall: 0.1913
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- - F1: 0.0032
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- - Accuracy: 0.8229
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- - Roc Auc: 0.4264
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- - Pr Auc: 0.2516
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  ## Model description
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@@ -54,10 +52,16 @@ The following hyperparameters were used during training:
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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: 0
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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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