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whisper-tiny2-it – AI Model by luigisaetta | AlphaNeural AI
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luigisaetta
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whisper-tiny2-it
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transformers
pytorch
tensorboard
whisper
automatic-speech-recognition
generated_from_trainer
whisper-event
it
mozilla-foundation/common_voice_11_0
apache-2.0
model-index
endpoints_compatible
us
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luigisaetta/whisper-tiny2-it
This model is a fine-tuned version of
openai/whisper-tiny
on the common_voice_11_0 dataset. It achieves the following results on the evaluation set:
Loss: 0.4686
Wer: 25.9110
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: 32
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
0.5765
2.01
1000
0.5728
32.2181
0.3726
4.02
2000
0.5035
28.4606
0.2789
6.04
3000
0.4861
26.7894
0.2996
8.05
4000
0.4694
26.0279
0.2925
10.06
5000
0.4686
25.9110
Framework versions
Transformers 4.26.0.dev0
Pytorch 1.13.0+cu117
Datasets 2.7.1.dev0
Tokenizers 0.13.2
