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--- |
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license: mit |
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base_model: Amna100/PreTraining-MLM |
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tags: |
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- generated_from_trainer |
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metrics: |
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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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--- |
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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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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 5 |
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- eval_batch_size: 5 |
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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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- Transformers 4.41.0.dev0 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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