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whisper-tiny-it-puct-5k – AI Model by CheeLi03 | AlphaNeural AI
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whisper-tiny-it-puct-5k
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tensorboard
safetensors
whisper
hf-asr-leaderboard
generated_from_trainer
it
fleurs
openai/whisper-tiny
finetune
apache-2.0
model-index
us
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Whisper Tiny Italian 5k - Chee Li
This model is a fine-tuned version of
openai/whisper-tiny
on the Google Fleurs dataset. It achieves the following results on the evaluation set:
Loss: 0.6896
Wer: 50.9391
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
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.195
4.6729
1000
0.4900
53.7054
0.0248
9.3458
2000
0.5791
61.4365
0.0076
14.0187
3000
0.6469
54.1907
0.0044
18.6916
4000
0.6788
51.7641
0.0036
23.3645
5000
0.6896
50.9391
Framework versions
Transformers 4.43.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
