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facebook-wav2vec2-xlsr-1b-km-indomain5-withoutac – AI Model by Shagufta | AlphaNeural AI
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Shagufta
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facebook-wav2vec2-xlsr-1b-km-indomain5-withoutac
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transformers
safetensors
wav2vec2
automatic-speech-recognition
generated_from_trainer
facebook/wav2vec2-xls-r-1b
finetune
apache-2.0
endpoints_compatible
us
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facebook-wav2vec2-xlsr-1b-km-indomain5-withoutac
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: 0.5019
Wer: 0.2253
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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 8
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: cosine
lr_scheduler_warmup_steps: 100
num_epochs: 20
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
1.3795
4.7853
100
0.4499
0.2773
1.1732
9.5399
200
0.5070
0.2569
0.6954
14.2945
300
0.4929
0.2360
0.5356
19.0491
400
0.5025
0.2260
0.5356
20.0
420
0.5019
0.2253
Framework versions
Transformers 5.7.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
