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ASR_Germen_Wav2Vec2_Local_Train – AI Model by HK0712 | AlphaNeural AI
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HK0712
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ASR_Germen_Wav2Vec2_Local_Train
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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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ASR_Germen_Wav2Vec2_Local_Train
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: 0.3619
Per: 0.1676
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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
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: 300
training_steps: 15000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Per
0.6277
0.1630
3000
0.5961
0.2501
0.445
0.3259
6000
0.4649
0.2070
0.3751
0.4889
9000
0.4084
0.1818
0.4281
0.6518
12000
0.3907
0.1792
0.3835
0.8148
15000
0.3619
0.1676
Framework versions
Transformers 4.57.0
Pytorch 2.9.0+cu130
Datasets 2.18.0
Tokenizers 0.22.1
