Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
sew-mid-100k-ft-keyword-spotting – AI Model by anton-l | AlphaNeural AI
You can deploy this model and start earning money today!
anton-l
/
sew-mid-100k-ft-keyword-spotting
like
0
transformers
pytorch
tensorboard
sew
audio-classification
generated_from_trainer
superb
apache-2.0
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
sew-mid-100k-ft-keyword-spotting
This model is a fine-tuned version of
asapp/sew-mid-100k
on the superb dataset. It achieves the following results on the evaluation set:
Loss: 0.0975
Accuracy: 0.9757
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: 3e-05
train_batch_size: 32
eval_batch_size: 32
seed: 0
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5.0
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.5999
1.0
399
0.2262
0.9635
0.4271
2.0
798
0.1230
0.9697
0.3778
3.0
1197
0.1052
0.9731
0.3227
4.0
1596
0.0975
0.9757
0.3081
5.0
1995
0.0962
0.9753
Framework versions
Transformers 4.12.0.dev0
Pytorch 1.9.1+cu111
Datasets 1.14.0
Tokenizers 0.10.3
