Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
finetune_wav2vec2_960h_six – AI Model by ImanN1 | AlphaNeural AI
You can deploy this model and start earning money today!
ImanN1
/
finetune_wav2vec2_960h_six
like
0
transformers
tensorboard
safetensors
wav2vec2
automatic-speech-recognition
generated_from_trainer
facebook/wav2vec2-base-960h
finetune
apache-2.0
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
finetune_wav2vec2_960h_six
This model is a fine-tuned version of
facebook/wav2vec2-base-960h
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.7147
Wer: 31.6162
Cer: 15.8883
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: 32
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: 2000
training_steps: 4500
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
Cer
0.9942
18.5185
1000
0.7147
31.6162
15.8883
0.5163
37.0370
2000
0.7961
31.2892
15.4668
0.3093
55.5556
3000
0.9768
30.9894
15.2757
0.2142
74.0741
4000
1.0128
29.0270
14.6912
Framework versions
Transformers 4.40.2
Pytorch 1.12.1+cu116
Datasets 2.19.1
Tokenizers 0.19.1
