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whisper-tb-5k-none – AI Model by CheeLi03 | AlphaNeural AI
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whisper-tb-5k-none
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tensorboard
safetensors
whisper
hf-asr-leaderboard
generated_from_trainer
en
openai/whisper-base
finetune
apache-2.0
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Whisper Turbo Five 5K None - Chee Li
This model is a fine-tuned version of
openai/whisper-base
on the Google Fleurs dataset. It achieves the following results on the evaluation set:
Loss: 0.2026
Wer: 8.3455
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: 600
training_steps: 5000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0931
1.0560
1000
0.1980
9.7007
0.0393
2.1119
2000
0.1960
9.3037
0.0233
3.1679
3000
0.2012
10.1208
0.007
4.2239
4000
0.1986
8.6201
0.0017
5.2798
5000
0.2026
8.3455
Framework versions
Transformers 4.43.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
