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whisper-base-el-puct-4k – AI Model by CheeLi03 | AlphaNeural AI
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whisper-base-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
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Whisper Base 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: 0.6252
Wer: 99.2390
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
0.2031
4.5872
1000
0.4958
91.1858
0.0263
9.1743
2000
0.5481
78.0903
0.0067
13.7615
3000
0.6062
94.7194
0.0045
18.3486
4000
0.6252
99.2390
Framework versions
Transformers 4.43.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
