bart-finetuned-yelpreviews
This model is a fine-tuned version of facebook/bart-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.4346
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: 1e-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
- lr_scheduler_warmup_steps: 200
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.8423 | 0.27 | 1000 | 3.5093 |
| 3.7475 | 0.55 | 2000 | 3.4619 |
| 3.7098 | 0.82 | 3000 | 3.4368 |
Framework versions
- Transformers 4.21.0.dev0
- Pytorch 1.11.0+cu113
- Datasets 1.18.4
- Tokenizers 0.12.1
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Model tree for eliolio/bart-finetuned-yelpreviews
Base model
facebook/bart-base