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--- |
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license: apache-2.0 |
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base_model: facebook/bart-base |
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tags: |
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- generated_from_trainer |
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- kurd |
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- sorani |
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- ckb |
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- kurdish |
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metrics: |
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- wer |
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- bleu |
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model-index: |
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- name: bart-kurd-spell-base |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# bart-kurd-spell-base-sn |
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This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co./facebook/bart-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4815 |
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- Cer: 2.1669 |
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- Wer: 12.1294 |
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- Bleu: 78.2542 |
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- Chrf: 95.7354 |
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- Gen Len: 16.7779 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 64 |
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- eval_batch_size: 64 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 5.0 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Cer | Wer | Bleu | Chrf | Gen Len | |
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|:-------------:|:-----:|:------:|:---------------:|:------:|:-------:|:-------:|:-------:|:-------:| |
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| 0.2972 | 1.0 | 177897 | 0.5591 | 2.836 | 14.9407 | 73.3024 | 94.1403 | 16.7054 | |
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| 0.233 | 2.0 | 355794 | 0.5157 | 2.4613 | 13.4362 | 75.8819 | 95.0077 | 16.7604 | |
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| 0.2043 | 3.0 | 533691 | 0.4918 | 2.307 | 12.7609 | 77.0962 | 95.3849 | 16.7681 | |
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| 0.1753 | 4.0 | 711588 | 0.4871 | 2.2105 | 12.3386 | 77.928 | 95.6297 | 16.7765 | |
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| 0.1655 | 5.0 | 889485 | 0.4815 | 2.1669 | 12.1294 | 78.2542 | 95.7354 | 16.7779 | |
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### Framework versions |
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- Transformers 4.36.0.dev0 |
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- Pytorch 2.1.0 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
