Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
wav2vec2-onomatopoeia-finetune_smalldata_ESC50pretrained_2 – AI Model by nawta | AlphaNeural AI
You can deploy this model and start earning money today!
nawta
/
wav2vec2-onomatopoeia-finetune_smalldata_ESC50pretrained_2
like
0
transformers
pytorch
wav2vec2
automatic-speech-recognition
generated_from_trainer
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
wav2vec2-onomatopoeia-finetune_smalldata_ESC50pretrained_2
This model is a fine-tuned version of
/root/workspace/wav2vec2-pretrained_with_ESC50_10000epochs_32batch_2022-07-09_22-16-46/pytorch_model.bin
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.6235
Cer: 0.8973
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: 64
eval_batch_size: 16
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: 30
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Cer
5.0097
23.81
500
2.6235
0.8973
Framework versions
Transformers 4.11.3
Pytorch 1.9.1+cu111
Datasets 1.13.3
Tokenizers 0.10.3
