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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_DATA_14K_14-08
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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_DATA_14K_14-08
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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: 0.8890
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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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| 0.923 | 1.0 | 5451 | 0.6928 |
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| 0.7731 | 2.0 | 10902 | 0.8015 |
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| 0.6107 | 3.0 | 16353 | 0.7948 |
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| 0.5961 | 4.0 | 21804 | 0.7665 |
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| 0.6113 | 5.0 | 27255 | 0.8171 |
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| 0.5014 | 6.0 | 32706 | 0.7901 |
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| 0.4425 | 7.0 | 38157 | 0.7140 |
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| 0.4546 | 8.0 | 43608 | 0.8264 |
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| 0.3919 | 9.0 | 49059 | 0.8266 |
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| 0.3568 | 10.0 | 54510 | 0.8890 |
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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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size 496294633
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version https://git-lfs.github.com/spec/v1
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size 496294633
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