Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
FT-English-10mc – AI Model by Pageee | AlphaNeural AI
You can deploy this model and start earning money today!
Pageee
/
FT-English-10mc
like
0
transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
en
librispeech_asr
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
Whisper-Small En-10m
This model is a fine-tuned version of
openai/whisper-small
on the librispeech dataset. It achieves the following results on the evaluation set:
Loss: 0.3711
Wer: 3.6527
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: 5e-07
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 300
training_steps: 500
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.513
18.1818
100
0.7542
3.4448
0.2777
36.3636
200
0.6097
3.4693
0.0349
54.5455
300
0.3976
3.5732
0.0049
72.7273
400
0.3744
3.6324
0.0035
90.9091
500
0.3711
3.6527
Framework versions
Transformers 4.41.0.dev0
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1
