Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
base-v2-dp – AI Model by devkyle | AlphaNeural AI
You can deploy this model and start earning money today!
devkyle
/
base-v2-dp
like
0
transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-base
finetune
apache-2.0
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
whisper-base-akan
This model is a fine-tuned version of
openai/whisper-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.9478
Wer: 40.9025
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
0.5893
10.0
500
0.7149
51.7322
0.0835
20.0
1000
0.8352
42.5328
0.0199
30.0
1500
0.9229
41.2373
0.0066
40.0
2000
0.9478
40.9025
Framework versions
Transformers 4.45.2
Pytorch 2.4.1+cu121
Datasets 3.0.2
Tokenizers 0.20.1
