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End of training

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README.md ADDED
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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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+
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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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+
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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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+
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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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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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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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+
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+
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+ ### Framework versions
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+
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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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