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braj-xlsr-model_v2 – AI Model by nsnihal | AlphaNeural AI
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nsnihal
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braj-xlsr-model_v2
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transformers
safetensors
wav2vec2
automatic-speech-recognition
generated_from_trainer
facebook/wav2vec2-xls-r-300m
finetune
apache-2.0
endpoints_compatible
us
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braj-xlsr-model_v2
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: 3.2414
Wer: 1.0
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: 0.0001
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
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: linear
lr_scheduler_warmup_steps: 5
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
7.7101
1.0
72
6.5179
1.0
4.6193
2.0
144
3.8029
1.0
3.8108
3.0
216
3.5742
1.0
3.1595
4.0
288
3.2780
1.0
Framework versions
Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.2
