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libri-wav2vec2-xlsr-300m-phoneme-demo – AI Model by Aditya3107 | AlphaNeural AI
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libri-wav2vec2-xlsr-300m-phoneme-demo
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transformers
tensorboard
safetensors
wav2vec2
automatic-speech-recognition
generated_from_trainer
facebook/wav2vec2-xls-r-300m
finetune
apache-2.0
endpoints_compatible
us
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libri-wav2vec2-xlsr-300m-phoneme-demo
This model is a fine-tuned version of
facebook/wav2vec2-xls-r-300m
on the None dataset. It achieves the following results on the evaluation set:
Loss: 17.5394
Wer: 3.3218
Cer: 0.9677
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: 1e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 8
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: 1000
num_epochs: 20
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
Cer
No log
5.0
5
17.5401
3.3057
0.9626
No log
10.0
10
17.5399
3.3356
0.9671
No log
15.0
15
17.5399
3.3126
0.9624
No log
20.0
20
17.5394
3.3218
0.9677
Framework versions
Transformers 4.47.1
Pytorch 2.5.1+cu124
Datasets 2.7.1
Tokenizers 0.21.0
