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whisper-small-it – AI Model by FredBonux | AlphaNeural AI
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whisper-small-it
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
it-asr-leaderboard
generated_from_trainer
it
mozilla-foundation/common_voice_11_0
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Small IT - GoodOnions
This model is a fine-tuned version of
openai/whisper-small
on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.4681
Wer: 83.9413
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: 4000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.1517
1.6
1000
0.3859
227.6309
0.0313
3.2
2000
0.4126
50.3681
0.0156
4.8
3000
0.4367
67.6440
0.0038
6.4
4000
0.4681
83.9413
Framework versions
Transformers 4.36.0.dev0
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0
