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--- |
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license: cc-by-4.0 |
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base_model: deepset/roberta-base-squad2 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: my_awesome_qa_model |
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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/yashwan2003-Jain%20University/huggingface/runs/mkldx3lf) |
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# my_awesome_qa_model |
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This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.co/deepset/roberta-base-squad2) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1742 |
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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: 2e-05 |
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- train_batch_size: 10 |
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- eval_batch_size: 10 |
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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: 15 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 198 | 0.2250 | |
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| No log | 2.0 | 396 | 0.2104 | |
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| 0.3324 | 3.0 | 594 | 0.2199 | |
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| 0.3324 | 4.0 | 792 | 0.1904 | |
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| 0.3324 | 5.0 | 990 | 0.1642 | |
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| 0.1403 | 6.0 | 1188 | 0.1693 | |
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| 0.1403 | 7.0 | 1386 | 0.1531 | |
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| 0.1083 | 8.0 | 1584 | 0.1712 | |
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| 0.1083 | 9.0 | 1782 | 0.1538 | |
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| 0.1083 | 10.0 | 1980 | 0.1498 | |
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| 0.0925 | 11.0 | 2178 | 0.1538 | |
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| 0.0925 | 12.0 | 2376 | 0.1627 | |
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| 0.0609 | 13.0 | 2574 | 0.1631 | |
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| 0.0609 | 14.0 | 2772 | 0.1707 | |
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| 0.0609 | 15.0 | 2970 | 0.1742 | |
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### Framework versions |
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- Transformers 4.42.3 |
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- Pytorch 2.1.2 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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