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MMS-Wolof-1-hour-Alffa-dataset

This model is a fine-tuned version of facebook/mms-1b-all on an unknown dataset. It achieves the following results on the evaluation set:

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The following hyperparameters were used during training:

learning_rate: 0.0003
train_batch_size: 32
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 50

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
0.8739	30.7692	400	0.7699	0.4968	0.1499

Safetensors

Model size

1.0B params

Tensor type

F32

Base model

Finetuned

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