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--- |
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license: apache-2.0 |
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base_model: michiyasunaga/BioLinkBERT-large |
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tags: |
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- generated_from_trainer |
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datasets: |
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- scicite |
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metrics: |
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- accuracy |
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model-index: |
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- name: cite_classification_model |
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results: |
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- task: |
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name: Text Classification |
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type: text-classification |
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dataset: |
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name: scicite |
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type: scicite |
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config: default |
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split: validation |
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args: default |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.925764192139738 |
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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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# cite_classification_model |
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This model is a fine-tuned version of [michiyasunaga/BioLinkBERT-large](https://huggingface.co/michiyasunaga/BioLinkBERT-large) on the scicite dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4804 |
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- Accuracy: 0.9258 |
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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: 8 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.2679 | 1.0 | 513 | 0.1976 | 0.9258 | |
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| 0.1903 | 2.0 | 1026 | 0.2146 | 0.9225 | |
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| 0.1474 | 3.0 | 1539 | 0.2356 | 0.9225 | |
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| 0.1105 | 4.0 | 2052 | 0.3363 | 0.9279 | |
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| 0.0785 | 5.0 | 2565 | 0.3935 | 0.9225 | |
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| 0.0498 | 6.0 | 3078 | 0.4296 | 0.9236 | |
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| 0.0293 | 7.0 | 3591 | 0.4774 | 0.9203 | |
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| 0.0186 | 8.0 | 4104 | 0.4804 | 0.9258 | |
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### Framework versions |
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- Transformers 4.34.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.0 |
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