Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
whisper-medium-reverse-ml-mft-1 – AI Model by kavyamanohar | AlphaNeural AI
You can deploy this model and start earning money today!
kavyamanohar
/
whisper-medium-reverse-ml-mft-1
like
0
transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-medium
finetune
apache-2.0
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
whisper-medium-reverse-ml-mft-1
This model is a fine-tuned version of
openai/whisper-medium
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0811
Wer: 40.3159
Cer: 12.1262
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: 0.0002
train_batch_size: 64
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 128
optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 593
training_steps: 5928
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
Cer
0.0582
1.0
1482
0.0768
43.4159
13.4134
0.0399
2.0
2964
0.0669
41.7880
12.4496
0.026
3.0
4446
0.0715
39.8821
11.8874
0.0169
4.0
5928
0.0811
40.3159
12.1262
Framework versions
Transformers 4.51.1
Pytorch 2.8.0+cu128
Datasets 4.4.1
Tokenizers 0.21.4
