Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
whisper-2000ms-small-v2 – AI Model by devkyle | AlphaNeural AI
You can deploy this model and start earning money today!
devkyle
/
whisper-2000ms-small-v2
like
0
transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-small
finetune
apache-2.0
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
whisper-small-akan
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: 0.8793
Wer: 35.7817
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: 0.0001
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: 2000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0552
20.0
500
0.7875
40.5259
0.0098
40.0
1000
0.8705
39.3541
0.0014
60.0
1500
0.8703
36.7819
0.0001
80.0
2000
0.8793
35.7817
Framework versions
Transformers 4.44.2
Pytorch 2.4.0+cu121
Datasets 3.0.0
Tokenizers 0.19.1
