Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
700-fine-tuned-whisper-base-full – AI Model by ashe194 | AlphaNeural AI
You can deploy this model and start earning money today!
ashe194
/
700-fine-tuned-whisper-base-full
like
0
safetensors
whisper
generated_from_trainer
en
openai/whisper-base
finetune
apache-2.0
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
Visualize in Weights & Biases
Whisper base fine tuned full - ashe194
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: 0.0034
Wer: 0.3422
Cer: 0.3439
Wer Ortho: 0.5124
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: 4e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
Cer
Wer Ortho
No log
0.9935
76
0.0065
0.4277
0.2934
0.7385
No log
2.0
153
0.0035
0.3707
0.3717
0.5275
No log
2.9804
228
0.0034
0.3422
0.3439
0.5124
Framework versions
Transformers 4.42.3
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
