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whisper-small-ewe-2 – AI Model by abiyo27 | AlphaNeural AI
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whisper-small-ewe-2
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
hf-asr-leaderboard
generated_from_trainer
multilingual
abiyo27/BibleTTS_Ewe-Bible
openai/whisper-medium
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper_Small_Ewe
This model is a fine-tuned version of
openai/whisper-medium
on the BibleTTS dataset. It achieves the following results on the evaluation set:
Loss: 0.1021
Wer: 10.0950
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: 1
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: 14000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.2196
0.1802
4000
0.1780
19.3903
0.1587
0.3605
8000
0.1375
13.4933
0.1162
0.5407
12000
0.1021
10.0950
Framework versions
Transformers 4.41.2
Pytorch 2.3.1+cu121
Datasets 2.19.2
Tokenizers 0.19.1
