Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
int8-whisper-large-v2-asr-gn-15-all-a100 – AI Model by mfidabel | AlphaNeural AI
You can deploy this model and start earning money today!
mfidabel
/
int8-whisper-large-v2-asr-gn-15-all-a100
like
0
peft
safetensors
generated_from_trainer
openai/whisper-large-v2
adapter
apache-2.0
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
int8-whisper-large-v2-asr-gn-15-all-a100
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: 0.1441
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: 0.001
train_batch_size: 64
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.5271
1.0
292
0.3598
0.3254
2.0
584
0.2609
0.2019
3.0
876
0.2030
0.1125
4.0
1168
0.1562
0.0543
5.0
1460
0.1441
Framework versions
PEFT 0.7.1
Transformers 4.36.2
Pytorch 2.1.0+cu118
Datasets 2.16.1
Tokenizers 0.15.0
