ft_bert_base_cased
This model is a fine-tuned version of bert-base-cased on the yelp_review_full dataset. It achieves the following results on the evaluation set:
- Loss: 1.0124
- Accuracy: 0.566
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 63 | 1.1082 | 0.552 |
| No log | 2.0 | 126 | 1.0124 | 0.566 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.0.0
- Datasets 2.15.0
- Tokenizers 0.14.1
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Model tree for aisuko/ft_bert_base_cased
Base model
google-bert/bert-base-casedDataset used to train aisuko/ft_bert_base_cased
Evaluation results
- Accuracy on yelp_review_fulltest set self-reported0.566