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--- |
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language: |
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- ha |
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license: apache-2.0 |
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tags: |
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- automatic-speech-recognition |
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- mozilla-foundation/common_voice_7_0 |
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- generated_from_trainer |
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datasets: |
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- common_voice |
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model-index: |
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- name: wav2vec2-large-xls-r-300m-hausa |
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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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# wav2vec2-large-xls-r-300m-hausa |
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This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the MOZILLA-FOUNDATION/COMMON_VOICE_7_0 - HA dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5756 |
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- Wer: 0.6014 |
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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: 7e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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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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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 100.0 |
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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 | Wer | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| 2.7064 | 11.36 | 500 | 2.7112 | 1.0 | |
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| 1.3079 | 22.73 | 1000 | 0.7337 | 0.7776 | |
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| 1.0919 | 34.09 | 1500 | 0.5938 | 0.7023 | |
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| 0.9546 | 45.45 | 2000 | 0.5698 | 0.6133 | |
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| 0.8895 | 56.82 | 2500 | 0.5739 | 0.6142 | |
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| 0.8152 | 68.18 | 3000 | 0.5579 | 0.6091 | |
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| 0.7703 | 79.55 | 3500 | 0.5813 | 0.6210 | |
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| 0.732 | 90.91 | 4000 | 0.5756 | 0.5860 | |
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### Framework versions |
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- Transformers 4.16.0.dev0 |
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- Pytorch 1.10.1+cu102 |
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- Datasets 1.17.1.dev0 |
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- Tokenizers 0.11.0 |
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