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whisper-medium-mix-it – AI Model by deepdml | AlphaNeural AI
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whisper-medium-mix-it
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tensorboard
safetensors
whisper
whisper-event
generated_from_trainer
automatic-speech-recognition
it
mozilla-foundation/common_voice_17_0
google/fleurs
facebook/multilingual_librispeech
facebook/voxpopuli
openai/whisper-medium
finetune
apache-2.0
model-index
us
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Whisper Medium Mixed-Italian
This model is a fine-tuned version of
openai/whisper-medium
on the it datasets:
mozilla-foundation/common_voice_17_0
google/fleurs
facebook/multilingual_librispeech
facebook/voxpopuli
It achieves the following results on the evaluation set:
Loss: 0.1318
Wer: 6.8401
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: 32
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
0.1502
0.2
1000
0.1708
9.0922
0.1584
0.4
2000
0.1554
8.1757
0.1309
0.6
3000
0.1426
7.4142
0.0984
0.8
4000
0.1370
7.1298
0.0933
1.0
5000
0.1318
6.8401
Framework versions
Transformers 4.42.0.dev0
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1
