Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
whisper_medium_BB_and_EC_v2.2 – AI Model by miosipof | AlphaNeural AI
You can deploy this model and start earning money today!
miosipof
/
whisper_medium_BB_and_EC_v2.2
like
0
peft
safetensors
generated_from_trainer
it
ASR_BB_and_EC
b-brave/asr_double_training_15-10-2024_merged
adapter
model-index
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
Whisper Medium
This model is a fine-tuned version of
b-brave/asr_double_training_15-10-2024_merged
on the ASR_BB_and_EC dataset. It achieves the following results on the evaluation set:
Loss: 0.4733
Wer: 35.5638
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-06
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_steps: 10
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
1.3876
0.9852
100
0.4835
36.3073
1.3282
1.9704
200
0.4776
36.1834
1.2853
2.9557
300
0.4733
35.5638
Framework versions
PEFT 0.13.2
Transformers 4.45.2
Pytorch 2.2.0
Datasets 3.1.0
Tokenizers 0.20.3
