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--- |
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license: cc-by-4.0 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- subjqa |
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model-index: |
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- name: qamodel2 |
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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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# qamodel2 |
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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 subjqa dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.7777 |
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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: 1e-06 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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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: 8 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.9544 | 1.0 | 81 | 2.0493 | |
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| 1.7079 | 2.0 | 162 | 1.8907 | |
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| 1.6135 | 3.0 | 243 | 1.8236 | |
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| 1.5829 | 4.0 | 324 | 1.7984 | |
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| 1.5381 | 5.0 | 405 | 1.7900 | |
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| 1.515 | 6.0 | 486 | 1.7827 | |
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| 1.5079 | 7.0 | 567 | 1.7827 | |
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| 1.4952 | 8.0 | 648 | 1.7777 | |
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### Framework versions |
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- Transformers 4.26.1 |
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- Pytorch 1.13.1+cu116 |
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- Datasets 2.10.1 |
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- Tokenizers 0.13.2 |
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