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asr-africa/wolof-1-hour-wav2vec2-xls-r-google-fleurs

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README.md CHANGED
@@ -4,9 +4,26 @@ license: apache-2.0
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  base_model: facebook/wav2vec2-xls-r-300m
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  tags:
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  - generated_from_trainer
 
 
 
 
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  model-index:
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  - name: wolof-1-hour-wav2vec2-xls-r-google-fleurs
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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
@@ -15,7 +32,11 @@ should probably proofread and complete it, then remove this comment. -->
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  [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/asr-africa-research-team/ASR%20Africa/runs/ogk3j7c0)
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  # wolof-1-hour-wav2vec2-xls-r-google-fleurs
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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 an unknown dataset.
 
 
 
 
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  ## Model description
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@@ -45,6 +66,14 @@ The following hyperparameters were used during training:
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  - lr_scheduler_warmup_ratio: 0.1
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  - num_epochs: 50
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  ### Framework versions
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  - Transformers 4.44.2
 
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  base_model: facebook/wav2vec2-xls-r-300m
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  tags:
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  - generated_from_trainer
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+ datasets:
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+ - fleurs
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+ metrics:
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+ - wer
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  model-index:
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  - name: wolof-1-hour-wav2vec2-xls-r-google-fleurs
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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: fleurs
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+ type: fleurs
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+ config: wo_sn
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+ split: None
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+ args: wo_sn
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+ metrics:
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+ - name: Wer
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+ type: wer
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+ value: 1.0
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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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  [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/asr-africa-research-team/ASR%20Africa/runs/ogk3j7c0)
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  # wolof-1-hour-wav2vec2-xls-r-google-fleurs
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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 fleurs dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 3.0203
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+ - Wer: 1.0
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+ - Cer: 1.0
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  ## Model description
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  - lr_scheduler_warmup_ratio: 0.1
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  - num_epochs: 50
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
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+ |:-------------:|:-----:|:----:|:---------------:|:---:|:---:|
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+ | 4.3753 | 25.0 | 200 | 3.0125 | 1.0 | 1.0 |
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+ | 3.003 | 50.0 | 400 | 3.0203 | 1.0 | 1.0 |
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+
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+
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  ### Framework versions
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  - Transformers 4.44.2
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