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wav2vec2-large-xls-r-300m-lg-10hr-v4 – AI Model by KasuleTrevor | AlphaNeural AI
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KasuleTrevor
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wav2vec2-large-xls-r-300m-lg-10hr-v4
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transformers
pytorch
safetensors
wav2vec2
automatic-speech-recognition
generated_from_trainer
facebook/wav2vec2-xls-r-300m
finetune
apache-2.0
endpoints_compatible
us
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wav2vec2-large-xls-r-300m-lg-10hr-v4
This model is a fine-tuned version of
facebook/wav2vec2-xls-r-300m
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 19.7153
Wer: 1.0
Cer: 1.6348
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: 0.0001
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: cosine
lr_scheduler_warmup_steps: 500
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
Cer
No log
1.0
9
15.1837
1.0
1.4446
No log
2.0
18
15.0587
1.0
1.4449
No log
3.0
27
14.7964
1.0
0.9425
No log
4.0
36
14.3556
1.0
0.9894
No log
5.0
45
13.7239
1.0
0.9992
Framework versions
Transformers 4.42.3
Pytorch 2.2.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
