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fold_4

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  1. README.md +27 -21
  2. model.safetensors +1 -1
README.md CHANGED
@@ -7,6 +7,7 @@ metrics:
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  - precision
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  - recall
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  - f1
 
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  model-index:
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  - name: fold_4
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  results: []
@@ -15,23 +16,25 @@ 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-change1/runs/94wgcdtp)
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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-change1/runs/8g0cixov)
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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-change1/runs/05nc4r5u)
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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-change1/runs/2tfkcyde)
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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-change1/runs/2zf1k4id)
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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-change1/runs/qyo3k3m3)
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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-change1/runs/hlahcpt7)
 
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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: 0.0095
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- - Precision: 0.1834
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- - Recall: 0.3042
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- - F1: 0.5248
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- - Pr Auc: 0.7701
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- - Roc Auc: 0.9321
 
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  ## Model description
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@@ -56,17 +59,20 @@ 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: 5
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Pr Auc | Roc Auc |
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- |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:------:|:-------:|
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- | 0.024 | 1.0 | 630 | 0.0081 | 0.3745 | 0.9507 | 0.7320 | 0.6332 | 0.9557 |
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- | 0.0098 | 2.0 | 1260 | 0.0078 | 0.5987 | 0.1560 | 0.1560 | 0.6396 | 0.9464 |
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- | 0.0059 | 3.0 | 1890 | 0.0084 | 0.0581 | 0.8662 | 0.6011 | 0.6335 | 0.9502 |
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- | 0.0014 | 4.0 | 2520 | 0.0091 | 0.7081 | 0.0206 | 0.9699 | 0.7122 | 0.9370 |
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- | 0.0005 | 5.0 | 3150 | 0.0095 | 0.8324 | 0.2123 | 0.1818 | 0.7701 | 0.9321 |
 
 
 
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  ### Framework versions
 
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  - precision
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  - recall
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  - f1
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+ - accuracy
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  model-index:
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  - name: fold_4
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  results: []
 
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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
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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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+ | 0.0278 | 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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