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wav2vec2-darija-tamazigh-test-001

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:

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The following hyperparameters were used during training:

learning_rate: 1e-06
train_batch_size: 2
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 2
total_train_batch_size: 32
total_eval_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_steps: 500
num_epochs: 2

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
9.7397	1.0	1151	7.9996	1.0	1.0
8.1344	2.0	2302	6.9688	1.0	1.0

Safetensors

Model size

0.3B params

Tensor type

F32

Base model

Finetuned

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this model