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--- |
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library_name: transformers |
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base_model: Samuael/ethiopic-sec2sec-tigrinya |
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tags: |
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- generated_from_trainer |
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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: ethiopic-sec2sec-tigrinya |
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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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# ethiopic-sec2sec-tigrinya |
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This model is a fine-tuned version of [Samuael/ethiopic-sec2sec-tigrinya](https://huggingface.co/Samuael/ethiopic-sec2sec-tigrinya) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.3390 |
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- Wer: 0.2570 |
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- Cer: 0.1269 |
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- Bleu: 67.2562 |
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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: 0.0002 |
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- train_batch_size: 64 |
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- eval_batch_size: 128 |
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- seed: 42 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 9 |
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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 | Wer | Cer | Bleu | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:-------:| |
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| 0.086 | 1.0 | 433 | 4.0475 | 0.2592 | 0.1222 | 67.0097 | |
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| 0.1177 | 2.0 | 866 | 3.8429 | 0.3645 | 0.2577 | 59.7600 | |
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| 0.1312 | 3.0 | 1299 | 4.0294 | 0.2630 | 0.1337 | 66.8126 | |
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| 0.1322 | 4.0 | 1732 | 4.1292 | 0.2527 | 0.1231 | 68.4884 | |
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| 0.1411 | 5.0 | 2165 | 3.9989 | 0.2662 | 0.1358 | 66.4299 | |
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| 0.1686 | 6.0 | 2598 | 4.1555 | 0.2592 | 0.1388 | 67.9808 | |
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| 0.1587 | 7.0 | 3031 | 4.2802 | 0.2543 | 0.1264 | 66.9025 | |
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| 0.1386 | 8.0 | 3464 | 4.2682 | 0.2554 | 0.1283 | 68.7450 | |
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| 0.0886 | 9.0 | 3897 | 4.3390 | 0.2570 | 0.1269 | 67.2562 | |
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### Framework versions |
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- Transformers 4.46.3 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
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