Anurag Singh
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update model card README.md
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README.md
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---
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license: cc-by-4.0
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tags:
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- generated_from_trainer
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model-index:
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- name: roberta-base-squad2
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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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# roberta-base-squad2
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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: 3.3942
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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: 4
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- eval_batch_size: 4
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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 |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.7072 | 1.0 | 501 | 3.2117 |
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| 0.4908 | 2.0 | 1002 | 3.2706 |
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| 0.4299 | 3.0 | 1503 | 2.9843 |
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| 0.3255 | 4.0 | 2004 | 2.5795 |
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| 0.2792 | 5.0 | 2505 | 2.9206 |
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| 0.2594 | 6.0 | 3006 | 3.2329 |
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| 0.2224 | 7.0 | 3507 | 2.9969 |
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| 0.1998 | 8.0 | 4008 | 3.5739 |
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| 0.1743 | 9.0 | 4509 | 3.4597 |
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| 0.1559 | 10.0 | 5010 | 3.3942 |
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### Framework versions
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- Transformers 4.30.2
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- Pytorch 2.0.1+cu117
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- Datasets 2.13.1
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- Tokenizers 0.13.3
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