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1.0 – AI Model by halcyonzhou | AlphaNeural AI
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halcyonzhou
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1.0
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transformers
tensorboard
safetensors
wav2vec2
automatic-speech-recognition
generated_from_trainer
facebook/wav2vec2-base
finetune
apache-2.0
endpoints_compatible
us
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wav2vec2-base
This model is a fine-tuned version of
facebook/wav2vec2-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.8970
Wer: 0.9731
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: 3e-05
train_batch_size: 4
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
training_steps: 2000
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
3.0417
8.7788
500
3.0305
1.0
2.925
17.5487
1000
2.9460
1.0
2.8543
26.3186
1500
2.9197
0.9690
2.804
35.0885
2000
2.8970
0.9731
Framework versions
Transformers 4.55.0
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.4
