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whisper-ar – AI Model by CheeLi03 | AlphaNeural AI
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whisper-ar
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tensorboard
safetensors
whisper
hf-asr-leaderboard
generated_from_trainer
ar
fleurs
openai/whisper-small
finetune
apache-2.0
model-index
us
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Whisper Small - Chee Li
This model is a fine-tuned version of
openai/whisper-small
on the Google Fleurs dataset. It achieves the following results on the evaluation set:
Loss: 0.4791
Wer: 35.4625
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
0.0147
6.6667
1000
0.3868
34.5125
0.0009
13.3333
2000
0.4417
36.6375
0.0004
20.0
3000
0.4693
35.5625
0.0003
26.6667
4000
0.4791
35.4625
Framework versions
Transformers 4.44.0
Pytorch 2.3.1+cu121
Datasets 2.21.0
Tokenizers 0.19.1
