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whisper-tiny-it-puct-combine-5k – AI Model by CheeLi03 | AlphaNeural AI
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whisper-tiny-it-puct-combine-5k
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
hf-asr-leaderboard
generated_from_trainer
it
openai/whisper-tiny
finetune
apache-2.0
endpoints_compatible
us
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Whisper Tiny Italian Combine 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: 0.4933
Wer: 52.2594
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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
0.5398
0.0849
1000
0.6209
60.9740
0.4894
0.1699
2000
0.5541
56.0544
0.4558
0.2548
3000
0.5213
54.6387
0.4267
0.3398
4000
0.5010
52.4281
0.4225
0.4247
5000
0.4933
52.2594
Framework versions
Transformers 4.46.2
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.20.1
