End of training
Browse files- README.md +12 -17
- model.safetensors +1 -1
- runs/May12_16-12-42_146dd0a17aa9/events.out.tfevents.1715530373.146dd0a17aa9.989.0 +3 -0
- runs/May12_16-17-42_146dd0a17aa9/events.out.tfevents.1715530675.146dd0a17aa9.989.1 +3 -0
- runs/May12_16-25-46_146dd0a17aa9/events.out.tfevents.1715531156.146dd0a17aa9.989.2 +3 -0
- runs/May12_16-28-24_146dd0a17aa9/events.out.tfevents.1715531315.146dd0a17aa9.989.3 +3 -0
- runs/May12_16-45-06_146dd0a17aa9/events.out.tfevents.1715532318.146dd0a17aa9.989.4 +3 -0
- runs/May12_16-45-06_146dd0a17aa9/events.out.tfevents.1715532370.146dd0a17aa9.989.5 +3 -0
- training_args.bin +1 -1
README.md
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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_0
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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/amnasaeed100/FineTuning-ADE-
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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-
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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-
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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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- Roc Auc: 0.9149
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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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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Pr Auc | Roc Auc |
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| 0.0281 | 1.0 | 630 | 0.0113 | 0.3745 | 0.9507 | 0.7320 | 0.6813 | 0.9278 |
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| 0.009 | 2.0 | 1260 | 0.0108 | 0.5987 | 0.1560 | 0.1560 | 0.5519 | 0.9242 |
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| 0.0061 | 3.0 | 1890 | 0.0110 | 0.0581 | 0.8662 | 0.6011 | 0.6682 | 0.9283 |
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| 0.0012 | 4.0 | 2520 | 0.0122 | 0.7081 | 0.0206 | 0.9699 | 0.7090 | 0.9146 |
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| 0.0006 | 5.0 | 3150 | 0.0130 | 0.8324 | 0.2123 | 0.1818 | 0.6999 | 0.9149 |
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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_0
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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/amnasaeed100/FineTuning-ADE-DropOut/runs/efvlo6po)
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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-DropOut/runs/rlozowm0)
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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-DropOut/runs/ui7028e9)
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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-DropOut/runs/vf6fcbva)
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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-DropOut/runs/udywnxov)
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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: 1.2353
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- Precision: 0.0017
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- Recall: 0.1464
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- F1: 0.0034
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- Accuracy: 0.5619
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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: 0
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### Training results
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### Framework versions
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