Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
ASR_Ascend_Whisper_LoRa – AI Model by whismyswift | AlphaNeural AI
You can deploy this model and start earning money today!
whismyswift
/
ASR_Ascend_Whisper_LoRa
like
0
peft
safetensors
adapter
lora
transformers
openai/whisper-small
apache-2.0
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
ASR_Ascend_Whisper_LoRa
This model is a fine-tuned version of
openai/whisper-small
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.5035
Wer: 52.3292
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: 0.001
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
training_steps: 1000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.5547
1.6191
500
0.4919
52.5155
0.3268
3.2366
1000
0.5035
52.3292
Framework versions
PEFT 0.18.1
Transformers 5.1.0
Pytorch 2.8.0+cu126
Datasets 3.6.0
Tokenizers 0.22.1
