Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
revised_ft_wav2vec2_base_six_1000 – AI Model by ImanNalia1 | AlphaNeural AI
You can deploy this model and start earning money today!
ImanNalia1
/
revised_ft_wav2vec2_base_six_1000
like
0
transformers
tensorboard
safetensors
wav2vec2
automatic-speech-recognition
generated_from_trainer
facebook/wav2vec2-base
finetune
apache-2.0
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
revised_ft_wav2vec2_base_six_1000
This model is a fine-tuned version of
facebook/wav2vec2-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.1179
Wer: 57.9258
Cer: 25.3159
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
3.2301
18.5185
1000
1.1192
57.1980
25.0173
0.4544
37.0370
2000
1.1278
42.9675
19.9377
0.1702
55.5556
3000
1.2664
40.7060
18.8307
0.0902
74.0741
4000
1.2946
39.2168
18.2196
Framework versions
Transformers 4.40.2
Pytorch 1.12.1+cu116
Datasets 2.19.1
Tokenizers 0.19.1
