license: apache-2.0 | |
tags: | |
- generated_from_trainer | |
base_model: facebook/bart-base | |
model-index: | |
- name: bart-finetuned-yelpreviews | |
results: [] | |
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# bart-finetuned-yelpreviews | |
This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/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 | |