| | --- |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_trainer |
| | datasets: |
| | - Yaxin/SemEval2014Task4Raw |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: bert-base-uncased-semeval2014 |
| | results: |
| | - task: |
| | name: Masked Language Modeling |
| | type: fill-mask |
| | dataset: |
| | name: Yaxin/SemEval2014Task4Raw All |
| | type: Yaxin/SemEval2014Task4Raw |
| | config: All |
| | split: validation |
| | args: All |
| | metrics: |
| | - name: Accuracy |
| | type: accuracy |
| | value: 0.8395989974937343 |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # bert-base-uncased-semeval2014 |
| |
|
| | This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the Yaxin/SemEval2014Task4Raw All dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.7027 |
| | - Accuracy: 0.8396 |
| |
|
| | ## Model description |
| |
|
| | More information needed |
| |
|
| | ## Intended uses & limitations |
| |
|
| | More information needed |
| |
|
| | ## Training and evaluation data |
| |
|
| | More information needed |
| |
|
| | ## Training procedure |
| |
|
| | ### Training hyperparameters |
| |
|
| | The following hyperparameters were used during training: |
| | - learning_rate: 0.0005 |
| | - train_batch_size: 8 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 100.0 |
| |
|
| | ### Training results |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.29.0.dev0 |
| | - Pytorch 2.0.0+cu118 |
| | - Datasets 2.11.0 |
| | - Tokenizers 0.13.3 |
| |
|
