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sereer-kallaama-15-mins – AI Model by taiyintaiyang | AlphaNeural AI
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sereer-kallaama-15-mins
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transformers
tensorboard
safetensors
wav2vec2
automatic-speech-recognition
generated_from_trainer
audiofolder
asr-africa/wav2vec2-xls-r-300m-Fleurs_AMMI_AFRIVOICE_LRSC-ln-109hrs-v2
finetune
apache-2.0
model-index
endpoints_compatible
us
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sereer-kallaama-15-mins
This model is a fine-tuned version of
asr-africa/wav2vec2-xls-r-300m-Fleurs_AMMI_AFRIVOICE_LRSC-ln-100hrs-v2
on the audiofolder dataset. It achieves the following results on the evaluation set:
Loss: 2.0482
Wer: 0.8983
Cer: 0.4414
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: 0.0005
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
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: 4
num_epochs: 20
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
Cer
1.5212
4.0
4
2.6957
1.0
0.9799
1.0473
8.0
8
2.0161
0.9288
0.4718
0.7149
12.0
12
2.6916
0.9525
0.4452
0.4837
16.0
16
1.8987
0.9153
0.4476
0.4144
20.0
20
2.0482
0.8983
0.4414
Framework versions
Transformers 4.46.2
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3
