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whisper-large-v3-tr-finetuned – AI Model by liqi03 | AlphaNeural AI
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whisper-large-v3-tr-finetuned
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tensorboard
safetensors
whisper
hf-asr-leaderboard
generated_from_trainer
tr
google/fleurs
openai/whisper-large-v3
finetune
apache-2.0
model-index
us
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Whisper Large V3 tr finetuned 3 - Chee Li
This model is a fine-tuned version of
openai/whisper-large-v3
on the Google Fleurs dataset. It achieves the following results on the evaluation set:
Loss: 0.1369
Wer: 33.0386
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
0.0095
5.5866
1000
0.1176
11.7358
0.0003
11.1732
2000
0.1281
33.0462
0.0001
16.7598
3000
0.1347
25.0208
0.0001
22.3464
4000
0.1369
33.0386
Framework versions
Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
