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wav2vec2-xls-r-1b-closest-to-faroese-1-epoch – AI Model by davidilag | AlphaNeural AI
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wav2vec2-xls-r-1b-closest-to-faroese-1-epoch
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transformers
tensorboard
safetensors
wav2vec2
automatic-speech-recognition
generated_from_trainer
facebook/wav2vec2-xls-r-1b
finetune
apache-2.0
endpoints_compatible
us
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wav2vec2-xls-r-1b-closest-to-faroese-1-epoch
This model is a fine-tuned version of
facebook/wav2vec2-xls-r-1b
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.5527
Wer: 58.5686
Cer: 17.3164
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: 5e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 32
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: 500
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
Cer
11.8455
0.3349
1000
0.7115
69.7810
20.9775
8.416
0.6698
2000
0.5527
58.5686
17.3164
Framework versions
Transformers 4.46.1
Pytorch 2.5.1+cu118
Datasets 3.1.0
Tokenizers 0.20.1
