wav2vec2-large-mms-1b-swahili_v2
This model is a fine-tuned version of facebook/mms-1b-all on the common_voice_16_1 dataset. It achieves the following results on the evaluation set:
- eval_loss: inf
- eval_wer: 0.2173
- eval_runtime: 57.2449
- eval_samples_per_second: 34.938
- eval_steps_per_second: 4.367
- epoch: 0.64
- step: 800
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: 0.001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 4
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.40.0.dev0
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for thinkKenya/wav2vec2-large-mms-1b-swahili_v2
Base model
facebook/mms-1b-all