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Mofe/
xls-r-hausa-40

Name: xls-r-hausa-40
Availability: InStock

transformers

pytorch

wav2vec2

automatic-speech-recognition

mozilla-foundation/common_voice_8_0

generated_from_trainer

robust-speech-event

hf-asr-leaderboard

mozilla-foundation/common_voice_8_0

apache-2.0

endpoints_compatible

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This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - HA dataset. It achieves the following results on the evaluation set:

Loss: 0.4998
Wer: 0.5153

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: 9.6e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2000
num_epochs: 80.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
3.0021	8.33	500	2.9059	1.0
2.6604	16.66	1000	2.6402	0.9892
1.2216	24.99	1500	0.6051	0.6851
1.0754	33.33	2000	0.5408	0.6464
0.9582	41.66	2500	0.5521	0.5935
0.8653	49.99	3000	0.5156	0.5550
0.7867	58.33	3500	0.5439	0.5606
0.7265	66.66	4000	0.4863	0.5255
0.6699	74.99	4500	0.5050	0.5169

Framework versions

Transformers 4.17.0.dev0
Pytorch 1.10.2+cu113
Datasets 1.18.4.dev0
Tokenizers 0.11.0

Mofe/xls-r-hausa-40

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Mofe/
xls-r-hausa-40