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--- |
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datasets: |
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- squad_v2 |
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model_index: |
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- name: sapbert-from-pubmedbert-squad2 |
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results: |
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- task: |
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name: Question Answering |
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type: question-answering |
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dataset: |
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name: squad_v2 |
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type: squad_v2 |
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args: squad_v2 |
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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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# sapbert-from-pubmedbert-squad2 |
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This model is a fine-tuned version of [cambridgeltl/SapBERT-from-PubMedBERT-fulltext](https://huggingface.co/cambridgeltl/SapBERT-from-PubMedBERT-fulltext) on the squad_v2 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.2582 |
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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: 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: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 1.035 | 1.0 | 8298 | 0.9545 | |
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| 0.8053 | 2.0 | 16596 | 0.9988 | |
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| 0.5949 | 3.0 | 24894 | 0.9909 | |
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| 0.4878 | 4.0 | 33192 | 1.1428 | |
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| 0.3932 | 5.0 | 41490 | 1.2582 | |
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### Framework versions |
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- Transformers 4.7.0 |
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- Pytorch 1.8.0 |
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- Datasets 1.4.1 |
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- Tokenizers 0.10.2 |
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