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Librarian Bot: Add base_model information to model (#1)
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---
license: apache-2.0
tags:
- generated_from_trainer
base_model: facebook/bart-base
model-index:
- name: bart-finetuned-yelpreviews
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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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