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--- |
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language: |
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- bas |
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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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- robust-speech-event |
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datasets: |
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- mozilla-foundation/common_voice_7_0 |
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model-index: |
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- name: XLS-R-300M - Basaa |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: Common Voice 7 |
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type: mozilla-foundation/common_voice_7_0 |
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args: bas |
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metrics: |
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- name: Test WER |
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type: wer |
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value: 104.08 |
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- name: Test CER |
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type: cer |
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value: 228.48 |
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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-basaa |
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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 - BAS dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5975 |
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- Wer: 0.4981 |
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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: 200.0 |
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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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| 2.9287 | 15.62 | 500 | 2.8774 | 1.0 | |
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| 1.1182 | 31.25 | 1000 | 0.6248 | 0.7131 | |
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| 0.8329 | 46.88 | 1500 | 0.5573 | 0.5792 | |
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| 0.7109 | 62.5 | 2000 | 0.5420 | 0.5683 | |
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| 0.6295 | 78.12 | 2500 | 0.5166 | 0.5395 | |
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| 0.5715 | 93.75 | 3000 | 0.5487 | 0.5629 | |
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| 0.5016 | 109.38 | 3500 | 0.5370 | 0.5471 | |
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| 0.4661 | 125.0 | 4000 | 0.5621 | 0.5395 | |
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| 0.423 | 140.62 | 4500 | 0.5658 | 0.5248 | |
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| 0.3793 | 156.25 | 5000 | 0.5921 | 0.4981 | |
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| 0.3651 | 171.88 | 5500 | 0.5987 | 0.4888 | |
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| 0.3351 | 187.5 | 6000 | 0.6017 | 0.4948 | |
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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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