Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
wav2vec2-base-finetuned-ks-de – AI Model by skpawar1305 | AlphaNeural AI
You can deploy this model and start earning money today!
skpawar1305
/
wav2vec2-base-finetuned-ks-de
like
0
transformers
pytorch
tensorboard
wav2vec2
audio-classification
generated_from_trainer
apache-2.0
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
wav2vec2-base-finetuned-ks-de
This model is a fine-tuned version of
facebook/wav2vec2-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.8987
Accuracy: 0.7222
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: 42
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
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
0.67
1
1.9651
0.0
No log
1.67
2
1.8987
0.7222
No log
2.67
3
1.8546
0.7222
No log
3.67
4
1.8259
0.7222
No log
4.67
5
1.8121
0.7222
Framework versions
Transformers 4.20.1
Pytorch 1.11.0+cu102
Datasets 2.3.2
Tokenizers 0.12.1
