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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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