Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
Mnong-ASR – AI Model by legendary2910 | AlphaNeural AI
You can deploy this model and start earning money today!
legendary2910
/
Mnong-ASR
like
0
transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
hf-asr-leaderboard
generated_from_trainer
vi
openai/whisper-small
finetune
apache-2.0
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
Whisper Small Mnong
This model is a fine-tuned version of
openai/whisper-small
on the MnongAudio dataset. It achieves the following results on the evaluation set:
Loss: 1.2467
Wer: 62.1199
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
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.2715
5.92
1000
1.1361
69.9392
0.0052
11.83
2000
1.2203
70.9818
0.0005
17.75
3000
1.2350
59.6872
0.0004
23.67
4000
1.2467
62.1199
Framework versions
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
