test_trainer
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: 1.0457
- 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: 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: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 125 | 1.5741 | 0.322 |
| No log | 2.0 | 250 | 1.0899 | 0.511 |
| No log | 3.0 | 375 | 1.0457 | 0.566 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
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Model tree for sahilx13/sentenceBert-finetuned-yelp
Base model
google-bert/bert-base-casedDataset used to train sahilx13/sentenceBert-finetuned-yelp
Evaluation results
- Accuracy on yelp_review_fulltest set self-reported0.566