bert-large-uncased-semeval2014-laptops
This model is a fine-tuned version of bert-large-uncased on the Yaxin/SemEval2014Task4Raw laptops dataset. It achieves the following results on the evaluation set:
- Loss: 1.3052
- Accuracy: 0.705
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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30.0
Training results
Framework versions
- Transformers 4.29.0.dev0
- Pytorch 1.13.0
- Datasets 2.11.0
- Tokenizers 0.13.2
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Dataset used to train StevenLimcorn/bert-large-uncased-semeval2014-laptops
Evaluation results
- Accuracy on Yaxin/SemEval2014Task4Raw laptopsvalidation set self-reported0.705