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wav2vec2-xls-r-300m-multilingual_filtered-yogera-v3 – AI Model by KasuleTrevor | AlphaNeural AI
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wav2vec2-xls-r-300m-multilingual_filtered-yogera-v3
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wav2vec2
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KasuleTrevor/wav2vec2-xls-r-300m-nyn_filtered-yogera-v3
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wav2vec2-xls-r-300m-multilingual_filtered-yogera-v3
This model is a fine-tuned version of
KasuleTrevor/wav2vec2-xls-r-300m-nyn_filtered-yogera-v3
on an unknown dataset. It achieves the following results on the evaluation set:
eval_loss: 2.1338
eval_model_preparation_time: 0.004
eval_wer: 0.6815
eval_cer: 0.2155
eval_runtime: 26.2323
eval_samples_per_second: 21.233
eval_steps_per_second: 2.668
step: 0
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: 32
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.05
num_epochs: 100
mixed_precision_training: Native AMP
Framework versions
Transformers 4.44.0
Pytorch 2.1.0+cu118
Datasets 2.20.0
Tokenizers 0.19.1
