Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
whisper-small-tonga_5hrs – AI Model by kalisia | AlphaNeural AI
You can deploy this model and start earning money today!
kalisia
/
whisper-small-tonga_5hrs
like
0
transformers
pytorch
tensorboard
whisper
automatic-speech-recognition
apache-2.0
model-index
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
whisper-small-tonga_5hrs
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: 0.9145
Wer: 52.2928
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: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 1000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
3.3353
1.45
200
1.9984
113.0627
1.7712
2.9
400
1.2576
72.0656
1.1476
4.35
600
1.0129
59.8233
1.004
5.79
800
0.9406
53.2183
0.9169
7.25
1000
0.9145
52.2928
Framework versions
Transformers 4.26.0.dev0
Pytorch 1.12.1+cu113
Datasets 2.7.1
Tokenizers 0.13.2
