Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
Nystrom-W2V2-100hrs-landmarks-128-take-1 – AI Model by rohitp1 | AlphaNeural AI
You can deploy this model and start earning money today!
rohitp1
/
Nystrom-W2V2-100hrs-landmarks-128-take-1
like
0
transformers
pytorch
wav2vec2
generated_from_trainer
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
Nystrom-W2V2-100hrs-landmarks-128-take-1
This model is a fine-tuned version of
on the None dataset. It achieves the following results on the evaluation set:
Loss: 31.3614
Wer: 0.1689
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: 0.0005
train_batch_size: 4
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 64
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.2
num_epochs: 30
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
443.6301
9.01
1000
39.1720
0.3382
86.4447
18.02
2000
28.0213
0.2008
42.4394
27.03
3000
31.3614
0.1689
Framework versions
Transformers 4.24.0
Pytorch 1.12.1
Datasets 2.7.0
Tokenizers 0.11.0
