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whisper-base-mix-en – AI Model by deepdml | AlphaNeural AI
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whisper-base-mix-en
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tensorboard
safetensors
whisper
generated_from_trainer
automatic-speech-recognition
en
mozilla-foundation/common_voice_17_0
google/fleurs
facebook/voxpopuli
openai/whisper-base
finetune
apache-2.0
model-index
us
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Whisper base mixed-English
This model is a fine-tuned version of
openai/whisper-base
on the "en" datasets:
mozilla-foundation/common_voice_17_0
google/fleurs
facebook/voxpopuli
It achieves the following results on the evaluation set:
Loss: 0.5065
Wer: 19.9389
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: 16
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
0.2909
0.2
1000
0.5348
21.1519
0.2316
0.4
2000
0.5255
20.7474
0.2351
0.6
3000
0.5132
20.3192
0.1924
0.8
4000
0.5097
20.0584
0.1984
1.0
5000
0.5065
19.9389
Framework versions
Transformers 4.42.0.dev0
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1
