Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
swahili – AI Model by etonkou | AlphaNeural AI
You can deploy this model and start earning money today!
etonkou
/
swahili
like
0
transformers
pytorch
wav2vec2
automatic-speech-recognition
generated_from_trainer
facebook/wav2vec2-base
finetune
apache-2.0
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
swahili
This model is a fine-tuned version of
facebook/wav2vec2-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.0009
Wer: 0.6055
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: 3
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: 1000
num_epochs: 10
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.723
1.5
1000
1.1521
0.7429
0.8457
3.0
2000
1.2019
0.7280
0.6465
4.5
3000
1.0385
0.6602
0.5081
6.0
4000
0.9303
0.6310
0.3864
7.5
5000
1.0838
0.6240
0.3109
9.0
6000
1.0009
0.6055
Framework versions
Transformers 4.33.3
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3
