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--- |
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license: apache-2.0 |
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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: ASR-Somali |
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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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# ASR-Somali |
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This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3660 |
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- Wer: 0.3060 |
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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: 0.0003 |
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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: 30 |
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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 | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| 3.1435 | 2.09 | 400 | 0.7624 | 0.7706 | |
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| 0.5829 | 4.18 | 800 | 0.3646 | 0.3935 | |
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| 0.3634 | 6.27 | 1200 | 0.3318 | 0.3944 | |
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| 0.2942 | 8.36 | 1600 | 0.3148 | 0.3403 | |
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| 0.2419 | 10.44 | 2000 | 0.3000 | 0.3255 | |
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| 0.2104 | 12.53 | 2400 | 0.2951 | 0.3312 | |
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| 0.1864 | 14.62 | 2800 | 0.3296 | 0.3083 | |
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| 0.1666 | 16.71 | 3200 | 0.3264 | 0.3153 | |
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| 0.148 | 18.8 | 3600 | 0.3188 | 0.3028 | |
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| 0.1305 | 20.89 | 4000 | 0.3448 | 0.3002 | |
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| 0.1206 | 22.98 | 4400 | 0.3660 | 0.3060 | |
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### Framework versions |
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- Transformers 4.28.0 |
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- Pytorch 2.0.0 |
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- Datasets 1.18.3 |
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- Tokenizers 0.13.3 |
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