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whisper-base-pron – AI Model by aslamkhan88 | AlphaNeural AI
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whisper-base-pron
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
hf-asr-leaderboard
generated_from_trainer
en
LanugaugeLab
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Small - LanguageLab V1
This model is a fine-tuned version of
openai/whisper-small
on the Language P1 dataset. It achieves the following results on the evaluation set:
Loss: 0.1019
Wer: 31.7536
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: 16
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
0.0001
21.28
1000
0.0898
43.6019
0.0
42.55
2000
0.0958
36.9668
0.0
63.83
3000
0.0991
35.0711
0.0
85.11
4000
0.1011
32.7014
0.0
106.38
5000
0.1019
31.7536
Framework versions
Transformers 4.37.2
Pytorch 2.2.0+cu118
Datasets 2.17.1
Tokenizers 0.15.2
