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--- |
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base_model: ad019el/Kabyle_xlsr-finetuned-tamasheq-1 |
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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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model-index: |
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- name: Kabyle_xlsr-finetuned-tamasheq.en |
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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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# Kabyle_xlsr-finetuned-tamasheq.en |
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This model is a fine-tuned version of [ad019el/Kabyle_xlsr-finetuned-tamasheq-1](https://huggingface.co/ad019el/Kabyle_xlsr-finetuned-tamasheq-1) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3734 |
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- Wer: 0.7983 |
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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: 3e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 32 |
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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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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 200 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| 5.6267 | 7.89 | 300 | 2.8189 | 1.0 | |
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| 2.5968 | 15.79 | 600 | 1.4180 | 0.9182 | |
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| 0.9228 | 23.68 | 900 | 1.1546 | 0.8575 | |
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| 0.5999 | 31.58 | 1200 | 1.1952 | 0.8096 | |
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| 0.459 | 39.47 | 1500 | 1.2662 | 0.8068 | |
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| 0.3801 | 47.37 | 1800 | 1.3734 | 0.7983 | |
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### Framework versions |
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- Transformers 4.32.1 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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