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unza/
xls-r-300m-bemba-fullset

Name: xls-r-300m-bemba-fullset
Availability: InStock

automatic-speech-recognition

BembaSpeech

generated_from_trainer

apache-2.0

endpoints_compatible

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xls-r-300m-bemba-fullset

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the BEMBASPEECH - NYA dataset. It achieves the following results on the evaluation set:

Loss: 0.6071
Wer: 0.9917

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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1500
num_epochs: 2.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
1.6564	1.58	500	0.6071	0.9917

Framework versions

Transformers 4.25.0.dev0
Pytorch 1.12.1+cu113
Datasets 2.7.0
Tokenizers 0.13.2

unza/xls-r-300m-bemba-fullset

xls-r-300m-bemba-fullset

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

unza/
xls-r-300m-bemba-fullset