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whisper-tiny-el-puct-4k – AI Model by CheeLi03 | AlphaNeural AI
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whisper-tiny-el-puct-4k
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tensorboard
safetensors
whisper
hf-asr-leaderboard
generated_from_trainer
el
fleurs
openai/whisper-base
finetune
apache-2.0
model-index
us
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Whisper tiny Greek Punctuation 4k - 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: 0.7115
Wer: 173.9809
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
0.3988
4.5872
1000
0.6457
92.3703
0.1543
9.1743
2000
0.6497
138.2941
0.0779
13.7615
3000
0.6882
164.6308
0.0498
18.3486
4000
0.7115
173.9809
Framework versions
Transformers 4.43.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
