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Wav2vec2_Single_Utt_Oct28 – AI Model by HamdanXI | AlphaNeural AI
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HamdanXI
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Wav2vec2_Single_Utt_Oct28
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transformers
safetensors
wav2vec2
automatic-speech-recognition
generated_from_trainer
facebook/wav2vec2-base-960h
finetune
apache-2.0
endpoints_compatible
us
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Wav2vec2_Single_Utt_Oct28
This model is a fine-tuned version of
facebook/wav2vec2-base-960h
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: nan
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: 12
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 24
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: 10
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0
3.2051
1000
nan
1.0
0.0
6.4103
2000
nan
1.0
0.0
9.6154
3000
nan
1.0
Framework versions
Transformers 4.57.1
Pytorch 2.8.0+cu128
Datasets 4.3.0
Tokenizers 0.22.1
