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whisper-sm-vivos – AI Model by duytran3112 | AlphaNeural AI
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whisper-sm-vivos
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transformers
pytorch
tensorboard
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-small
finetune
apache-2.0
endpoints_compatible
us
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whisper-sm-vivos
This model is a fine-tuned version of
openai/whisper-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2370
Wer: 54.8563
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: 1e-05
train_batch_size: 16
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: 500
training_steps: 4000
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.1265
1.37
1000
0.2178
35.8845
0.062
2.74
2000
0.2138
49.8446
0.0169
4.12
3000
0.2273
52.2922
0.012
5.49
4000
0.2370
54.8563
Framework versions
Transformers 4.31.0
Pytorch 2.0.0
Datasets 2.13.1
Tokenizers 0.13.3
