Bambara
Collection
Collection of all models trained on the Bambara language
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11 items
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Updated
bambara-10-hours-bambara-asr-hf
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 1.6353
- eval_wer: 0.4848
- eval_cer: 0.2216
- eval_runtime: 142.6245
- eval_samples_per_second: 43.141
- eval_steps_per_second: 2.699
- epoch: 41.93
- step: 14800
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0003
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 50
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu118
- Datasets 2.17.0
- Tokenizers 0.15.2
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Model tree for asr-africa/bambara-10-hours-bambara-asr-hf
Base model
facebook/wav2vec2-xls-r-300m