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distilbert-base-uncased-finetuned-yelp-polarity
This model is a fine-tuned version of distilbert-base-uncased on the yelp_polarity dataset. It achieves the following results on the evaluation set:
- Loss: 0.1395
- Accuracy: 0.9617
- F1: 0.9617
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: 2e-05
- train_batch_size: 24
- eval_batch_size: 24
- 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 | F1 |
|---|---|---|---|---|---|
| 0.1334 | 1.0 | 2332 | 0.1141 | 0.9602 | 0.9602 |
| 0.0722 | 2.0 | 4664 | 0.1395 | 0.9617 | 0.9617 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.7.1
- Tokenizers 0.13.2
