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robello2/
wav2vec2-xlsr-dora-afrispeech-all

Name: wav2vec2-xlsr-dora-afrispeech-all
Availability: InStock

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wav2vec2-xlsr-dora-afrispeech-all

This model is a fine-tuned version of jonatasgrosman/wav2vec2-large-xlsr-53-english on the afrispeech-200 dataset. It achieves the following results on the evaluation set:

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The following hyperparameters were used during training:

learning_rate: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Use OptimizerNames.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: 3589
num_epochs: 10
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer
1.4649	1.0	3590	0.5842	0.38
1.4877	2.0	7180	0.5156	0.348
1.1878	3.0	10770	0.4959	0.333
1.0824	4.0	14360	0.4787	0.322
1.2068	5.0	17950	0.4624	0.317
1.0674	6.0	21540	0.4546	0.312
0.9825	7.0	25130	0.4503	0.309
1.0736	8.0	28720	0.4467	0.308
0.9760	9.0	32310	0.4424	0.305
0.9802	10.0	35900	0.4410	0.305