---
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: bart-kurd-spell-base
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# bart-kurd-spell-base

This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1930
- Cer: 1.5424
- Wer: 8.3088
- Gen Len: 12.6945

## 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: 256
- eval_batch_size: 256
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10.0

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Cer    | Wer     | Gen Len |
|:-------------:|:-----:|:------:|:---------------:|:------:|:-------:|:-------:|
| 0.4548        | 1.54  | 20000  | 0.4117          | 2.8856 | 13.6181 | 12.7807 |
| 0.2723        | 3.07  | 40000  | 0.2736          | 2.1004 | 10.5883 | 12.6808 |
| 0.2246        | 4.61  | 60000  | 0.2303          | 1.8035 | 9.4897  | 12.7048 |
| 0.1812        | 6.14  | 80000  | 0.2122          | 1.6804 | 8.9349  | 12.6937 |
| 0.1693        | 7.68  | 100000 | 0.2001          | 1.589  | 8.5464  | 12.7045 |
| 0.1498        | 9.22  | 120000 | 0.1942          | 1.5546 | 8.3598  | 12.6935 |


### Framework versions

- Transformers 4.34.0.dev0
- Pytorch 1.13.1
- Datasets 2.14.5
- Tokenizers 0.13.3