Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
wav2vec2-960h-fine-tuning – AI Model by ashe194 | AlphaNeural AI
You can deploy this model and start earning money today!
ashe194
/
wav2vec2-960h-fine-tuning
like
0
tensorboard
safetensors
wav2vec2
generated_from_trainer
facebook/wav2vec2-base-960h
finetune
apache-2.0
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
Visualize in Weights & Biases
wav2vec2-960h-fine-tuning
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: 5.8952
Wer: 99.9699
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: 1000
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
15.6622
0.6536
100
56.5642
99.9699
9.4272
1.3072
200
8.8586
99.9699
4.5296
1.9608
300
5.3600
99.9699
3.4224
2.6144
400
5.8952
99.9699
Framework versions
Transformers 4.42.3
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
