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whisper-tiny-papi – AI Model by sonnygeorge | AlphaNeural AI
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whisper-tiny-papi
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
ASR
Papiamentu
Whisper
Speech Recognition
generated_from_trainer
sonnygeorge/papi_asr_corpus
openai/whisper-tiny
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Tiny Papiamentu
This model is a fine-tuned version of
openai/whisper-tiny
on the Papi ASR dataset. It achieves the following results on the evaluation set:
Loss: 0.3275
Wer: 30.3267
Cer: 15.4823
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: 3
training_steps: 200
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
Cer
0.1932
0.07
50
0.3766
42.1934
28.1746
0.2235
0.15
100
0.3513
33.0998
17.9645
0.2989
0.22
150
0.3337
30.2898
14.8959
0.3269
0.3
200
0.3275
30.3267
15.4823
Framework versions
Transformers 4.37.0.dev0
Pytorch 2.1.0+cu121
Datasets 2.15.0
Tokenizers 0.15.0
