wav2vec2-large-xlsr-53-sw-ke-tokenizer – AI Model by dennohpeter | AlphaNeural AI

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dennohpeter/
wav2vec2-large-xlsr-53-sw-ke-tokenizer

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automatic-speech-recognition

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facebook/wav2vec2-large-xlsr-53

endpoints_compatible

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wav2vec2-large-xlsr-53-sw-ke-tokenizer

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

Loss: 0.9600
Wer: 0.6224

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: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
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: 500
num_epochs: 30
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
5.8918	4.1667	400	2.8681	1.0
2.8863	8.3333	800	2.8663	1.0
2.8092	12.5	1200	2.5442	1.0
0.8899	16.6667	1600	0.6992	0.6511
0.2577	20.8333	2000	0.8239	0.6385
0.1397	25.0	2400	0.8893	0.6251
0.0971	29.1667	2800	0.9600	0.6224

Framework versions

Transformers 4.53.0
Pytorch 2.7.1+cu126
Datasets 3.6.0
Tokenizers 0.21.2