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firstcolab – AI Model by Thanapon1998 | AlphaNeural AI
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Thanapon1998
/
firstcolab
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transformers
pytorch
tensorboard
wav2vec2
automatic-speech-recognition
generated_from_trainer
common_voice
apache-2.0
model-index
endpoints_compatible
us
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firstcolab
This model is a fine-tuned version of
Thanapon1998/firstcolab
on the common_voice dataset. It achieves the following results on the evaluation set:
Loss: 0.9090
Wer: 0.9642
Cer: 0.2127
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: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
Cer
1.5413
0.66
100
1.1761
0.9887
0.2718
1.4052
1.32
200
1.0352
0.9809
0.2396
1.2922
1.97
300
0.9090
0.9642
0.2127
Framework versions
Transformers 4.24.0
Pytorch 1.12.1+cu113
Datasets 2.7.1
Tokenizers 0.13.2
