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whisper_tiny_vi – AI Model by anhphuong | AlphaNeural AI
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whisper_tiny_vi
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
vi
mozilla-foundation/common_voice_11_0
model-index
endpoints_compatible
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Whisper Tiny Vi - Anh Phuong
This model is a fine-tuned version of
openai/whisper-tiny-vi-v1
on the vi 500 dataset. It achieves the following results on the evaluation set:
Loss: 0.3071
Wer: 17.9275
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: 4
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
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.4594
0.16
1000
0.4406
24.6174
0.3731
0.32
2000
0.3586
20.4809
0.3199
0.48
3000
0.3223
18.8015
0.3026
0.64
4000
0.3071
17.9275
Framework versions
Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
