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wav2vec2-large-xlsr-53-esperanto-asr-augment – AI Model by scinerd68 | AlphaNeural AI
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scinerd68
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wav2vec2-large-xlsr-53-esperanto-asr-augment
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transformers
safetensors
wav2vec2
automatic-speech-recognition
generated_from_trainer
facebook/wav2vec2-large-xlsr-53
finetune
apache-2.0
endpoints_compatible
us
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wav2vec2-large-xlsr-53-esperanto-asr-augment
This model is a fine-tuned version of
facebook/wav2vec2-large-xlsr-53
on an unknown dataset. It achieves the following results on the evaluation set:
eval_loss: 0.7174
eval_wer: 0.5088
eval_runtime: 82.426
eval_samples_per_second: 12.132
eval_steps_per_second: 1.517
epoch: 3.0133
step: 11300
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: 0.0003
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 30
mixed_precision_training: Native AMP
Framework versions
Transformers 4.57.1
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1
