Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
asr-amharic-phoneme-based – AI Model by Samuael | AlphaNeural AI
You can deploy this model and start earning money today!
Samuael
/
asr-amharic-phoneme-based
like
0
transformers
tensorboard
safetensors
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
asr-amharic-phoneme-based
This model is a fine-tuned version of
facebook/wav2vec2-base
on the None dataset. It achieves the following results on the evaluation set:
eval_loss: 0.9967
eval_wer: 0.1463
eval_runtime: 22.6834
eval_samples_per_second: 15.827
eval_steps_per_second: 1.984
epoch: 18.82
step: 6400
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: 5e-05
train_batch_size: 32
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: 20
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.15.0
Tokenizers 0.15.0
