Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
whisper-large-v2-hi – AI Model by tarunanand | AlphaNeural AI
You can deploy this model and start earning money today!
tarunanand
/
whisper-large-v2-hi
like
0
transformers
pytorch
whisper
automatic-speech-recognition
generated_from_trainer
apache-2.0
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
whisper-large-v2-hi
This model is a fine-tuned version of
openai/whisper-large-v2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.3114
Wer: 0.2148
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: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
total_train_batch_size: 16
total_eval_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 5000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0693
2.44
1000
0.2040
0.2474
0.0218
4.89
2000
0.2299
0.2413
0.0023
7.33
3000
0.2687
0.2212
0.0003
9.78
4000
0.2887
0.2160
0.0001
12.22
5000
0.3114
0.2148
Framework versions
Transformers 4.28.0.dev0
Pytorch 2.0.0+cu117
Datasets 2.11.0
Tokenizers 0.13.3
