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whisper-small-uk-der-2 – AI Model by arun100 | AlphaNeural AI
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arun100
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whisper-small-uk-der-2
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transformers
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
uk
nikes64/whisper-small-uk
finetune
apache-2.0
model-index
endpoints_compatible
us
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whisper-small-uk-v2
This model is a fine-tuned version of
nikes64/whisper-small-uk
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1369
Wer: 11.2911
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
gradient_accumulation_steps: 2
total_train_batch_size: 32
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
0.087
1.4
1000
0.1092
11.8439
0.0429
2.8
2000
0.1035
11.0597
0.0132
4.2
3000
0.1247
11.1431
0.0067
5.6
4000
0.1369
11.2911
Framework versions
Transformers 4.38.0.dev0
Pytorch 2.2.0+cu121
Datasets 2.17.1
Tokenizers 0.15.2
