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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: 0.5700
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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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| 0.4114 | 1.0 | 9281 | 0.5647 |
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| 0.4344 | 2.0 | 18562 | 0.5296 |
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| 0.3542 | 3.0 | 27843 | 0.4666 |
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| 0.3583 | 4.0 | 37124 | 0.4045 |
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| 0.319 | 5.0 | 46405 | 0.4944 |
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| 0.2701 | 6.0 | 55686 | 0.5352 |
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| 0.313 | 7.0 | 64967 | 0.4846 |
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| 0.2025 | 8.0 | 74248 | 0.5701 |
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| 0.2424 | 9.0 | 83529 | 0.5456 |
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| 0.1944 | 10.0 | 92810 | 0.5700 |
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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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version https://git-lfs.github.com/spec/v1
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-
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size 496294633
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version https://git-lfs.github.com/spec/v1
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size 496294633
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