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# bart-kurd-spell-base-sn

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: 0.4815
- Cer: 2.1669
- Wer: 12.1294
- Bleu: 78.2542
- Chrf: 95.7354
- Gen Len: 16.7779

## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Cer    | Wer     | Bleu    | Chrf    | Gen Len |
|:-------------:|:-----:|:------:|:---------------:|:------:|:-------:|:-------:|:-------:|:-------:|
| 0.2972        | 1.0   | 177897 | 0.5591          | 2.836  | 14.9407 | 73.3024 | 94.1403 | 16.7054 |
| 0.233         | 2.0   | 355794 | 0.5157          | 2.4613 | 13.4362 | 75.8819 | 95.0077 | 16.7604 |
| 0.2043        | 3.0   | 533691 | 0.4918          | 2.307  | 12.7609 | 77.0962 | 95.3849 | 16.7681 |
| 0.1753        | 4.0   | 711588 | 0.4871          | 2.2105 | 12.3386 | 77.928  | 95.6297 | 16.7765 |
| 0.1655        | 5.0   | 889485 | 0.4815          | 2.1669 | 12.1294 | 78.2542 | 95.7354 | 16.7779 |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.1.0
- Datasets 2.15.0
- Tokenizers 0.15.0
{"license": "apache-2.0", "tags": ["generated_from_trainer", "kurd", "sorani", "ckb", "kurdish"], "metrics": ["wer", "bleu"], "base_model": "facebook/bart-base", "model-index": [{"name": "bart-kurd-spell-base", "results": []}]}
transformers safetensors bart text2text-generation generated_from_trainer kurd sorani ckb kurdish base_model:facebook/bart-base license:apache-2.0 autotrain_compatible endpoints_compatible has_space region:us