Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
kkkh_w2v2_large_finetune_teacher_babble_noise_mozilla_50_epochs_batch_16 – AI Model by rohitp1 | AlphaNeural AI
You can deploy this model and start earning money today!
rohitp1
/
kkkh_w2v2_large_finetune_teacher_babble_noise_mozilla_50_epochs_batch_16
like
0
transformers
pytorch
wav2vec2
automatic-speech-recognition
generated_from_trainer
apache-2.0
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
kkkh_w2v2_large_finetune_teacher_babble_noise_mozilla_50_epochs_batch_16
This model is a fine-tuned version of
facebook/wav2vec2-large-960h-lv60
on the None dataset. It achieves the following results on the evaluation set:
Loss: 24.1934
Wer: 0.2500
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: 16
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 256
total_train_batch_size: 4096
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.2
num_epochs: 50
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
791.6482
8.78
150
30.5908
0.2961
509.9743
17.55
300
26.0843
0.2612
457.1243
26.33
450
25.0523
0.2562
432.307
35.11
600
24.4050
0.2510
420.762
43.89
750
24.1934
0.2500
Framework versions
Transformers 4.29.2
Pytorch 1.12.1
Datasets 2.6.1
Tokenizers 0.13.1
