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wav2vec2vncskh – AI Model by linl03 | AlphaNeural AI
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linl03
/
wav2vec2vncskh
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transformers
tensorboard
safetensors
wav2vec2
automatic-speech-recognition
generated_from_trainer
linl03/wav2vec2vncskh
finetune
cc-by-nc-4.0
endpoints_compatible
us
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wav2vec2vncskh
This model is a fine-tuned version of
linl03/wav2vec2vncskh
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.6088
Wer: 0.9995
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: 32
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1000
num_epochs: 30
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
3.9335
8.06
500
1.3712
1.0
1.6652
16.13
1000
0.7927
0.9995
1.2043
24.19
1500
0.6088
0.9995
Framework versions
Transformers 4.36.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0
