Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
whisper-atco2-largev2 – AI Model by luigisaetta | AlphaNeural AI
You can deploy this model and start earning money today!
luigisaetta
/
whisper-atco2-largev2
like
0
transformers
pytorch
tensorboard
whisper
automatic-speech-recognition
generated_from_trainer
apache-2.0
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
openai/whisper-large-v2
This model is a fine-tuned version of
openai/whisper-large-v2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.8022
Wer: 20.0210
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: 1e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 2
total_train_batch_size: 128
total_eval_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 200
training_steps: 500
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0029
8.33
100
0.6650
19.2872
0.0005
16.67
200
0.7456
18.4486
0.0003
25.0
300
0.7798
19.4969
0.0002
33.33
400
0.7964
19.7065
0.0002
41.67
500
0.8022
20.0210
Framework versions
Transformers 4.26.0.dev0
Pytorch 1.13.1
Datasets 2.8.1.dev0
Tokenizers 0.13.2
