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wav2vec2-base-timit-demo-google-colab-2 – AI Model by Thunpitcha | AlphaNeural AI
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Thunpitcha
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wav2vec2-base-timit-demo-google-colab-2
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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-timit-demo-google-colab-2
This model is a fine-tuned version of
facebook/wav2vec2-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.4179
Wer: 0.3574
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: 8
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
3.6648
5.81
500
2.8027
1.0
1.0049
11.63
1000
0.5596
0.5456
0.2768
17.44
1500
0.5116
0.4262
0.1315
23.26
2000
0.4359
0.3939
0.0777
29.07
2500
0.4179
0.3574
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 1.18.3
Tokenizers 0.15.0
