prajwalJumde
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End of training
Browse files- README.md +66 -0
- pytorch_model.bin +1 -1
README.md
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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: QA_REFINED_QUESTIONS_WITH_RANDOM_DATA_24K_15_08
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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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# QA_REFINED_QUESTIONS_WITH_RANDOM_DATA_24K_15_08
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This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.co/deepset/roberta-base-squad2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9623
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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: 2
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- eval_batch_size: 2
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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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| 0.8848 | 1.0 | 9137 | 0.8389 |
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| 0.7753 | 2.0 | 18274 | 0.7794 |
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| 0.7765 | 3.0 | 27411 | 0.8597 |
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| 0.8242 | 4.0 | 36548 | 0.8571 |
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| 0.6728 | 5.0 | 45685 | 0.9071 |
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| 0.7219 | 6.0 | 54822 | 0.7628 |
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| 0.6047 | 7.0 | 63959 | 0.9108 |
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| 0.6137 | 8.0 | 73096 | 0.8685 |
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| 0.5439 | 9.0 | 82233 | 0.8586 |
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| 0.5387 | 10.0 | 91370 | 0.9623 |
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### Framework versions
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- Transformers 4.32.0.dev0
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- Pytorch 2.0.1+cu117
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- Datasets 2.14.4
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- Tokenizers 0.13.3
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pytorch_model.bin
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