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license: apache-2.0 |
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tags: |
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- text-classification |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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- f1 |
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- recall |
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- precision |
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base_model: allenai/specter |
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model-index: |
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- name: SPECTER-with-biblio-context-finetuned-review_classifier |
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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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# SPECTER-with-biblio-context-finetuned-review_classifier |
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This model is a fine-tuned version of [allenai/specter](https://huggingface.co/allenai/specter) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1284 |
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- Accuracy: 0.962 |
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- F1: 0.7892 |
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- Recall: 0.7593 |
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- Precision: 0.8216 |
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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: 4.5e-05 |
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- train_batch_size: 12 |
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- eval_batch_size: 12 |
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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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- lr_scheduler_warmup_steps: 1000 |
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- num_epochs: 2 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Recall | Precision | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:------:|:---------:| |
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| 0.1956 | 1.0 | 6667 | 0.1805 | 0.9514 | 0.7257 | 0.6860 | 0.7702 | |
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| 0.135 | 2.0 | 13334 | 0.1284 | 0.962 | 0.7892 | 0.7593 | 0.8216 | |
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### Framework versions |
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- Transformers 4.20.1 |
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- Pytorch 1.12.0+cu102 |
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- Datasets 2.3.2 |
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- Tokenizers 0.12.1 |
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