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whisper-base-en-cv17 – AI Model by deepdml | AlphaNeural AI
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whisper-base-en-cv17
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tensorboard
safetensors
whisper
generated_from_trainer
automatic-speech-recognition
en
mozilla-foundation/common_voice_17_0
openai/whisper-base
finetune
apache-2.0
model-index
us
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Whisper Base en
This model is a fine-tuned version of
openai/whisper-base
on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.5062
Wer: 19.8143
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: 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: 500
training_steps: 5000
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.3654
1.0974
1000
0.5075
20.6605
0.2314
3.0922
2000
0.5117
20.1370
0.261
5.087
3000
0.5058
20.1230
0.1793
7.0818
4000
0.5196
20.5831
0.2344
9.0766
5000
0.5062
19.8143
Framework versions
Transformers 4.42.0.dev0
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1
