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wav2vec2-large-mms-1b-swahili_v2 – AI Model by thinkKenya | AlphaNeural AI
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thinkKenya
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wav2vec2-large-mms-1b-swahili_v2
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transformers
safetensors
wav2vec2
automatic-speech-recognition
generated_from_trainer
common_voice_16_1
facebook/mms-1b-all
finetune
cc-by-nc-4.0
endpoints_compatible
us
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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
