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--- |
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license: apache-2.0 |
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base_model: bert-base-uncased |
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tags: |
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- generated_from_trainer |
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metrics: |
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- f1 |
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model-index: |
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- name: relation_extraction_bert_base_uncased |
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results: [] |
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datasets: |
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- sem_eval_2010_task_8 |
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language: |
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- en |
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library_name: transformers |
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pipeline_tag: text-classification |
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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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# relation_extraction_bert_base_uncased |
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on [sem_eval_2010_task_8](https://huggingface.co/datasets/sem_eval_2010_task_8). |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9300 |
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- F1: 0.8616 |
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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: 5e-05 |
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- train_batch_size: 64 |
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- eval_batch_size: 64 |
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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: 10.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| 1.2511 | 1.0 | 107 | 0.6098 | 0.7907 | |
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| 0.437 | 2.0 | 214 | 0.5167 | 0.8453 | |
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| 0.1921 | 3.0 | 321 | 0.5446 | 0.8553 | |
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| 0.0795 | 4.0 | 428 | 0.7041 | 0.8527 | |
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| 0.0334 | 5.0 | 535 | 0.7774 | 0.8568 | |
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| 0.0124 | 6.0 | 642 | 0.8086 | 0.8490 | |
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| 0.0056 | 7.0 | 749 | 0.8615 | 0.8601 | |
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| 0.003 | 8.0 | 856 | 0.9246 | 0.8614 | |
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| 0.0014 | 9.0 | 963 | 0.9300 | 0.8616 | |
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| 0.0011 | 10.0 | 1070 | 0.9421 | 0.8613 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.0 |
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- Tokenizers 0.15.0 |
