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model – AI Model by Neprox | AlphaNeural AI | AlphaNeural AI
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Neprox
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transformers
pytorch
tensorboard
whisper
automatic-speech-recognition
hf-asr-leaderboard
generated_from_trainer
sv
apache-2.0
endpoints_compatible
us
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Whisper Small - Swedish
This model is a fine-tuned version of
openai/whisper-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.3011
Wer: 19.8220
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: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
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
0.1353
1.94
1500
0.2815
20.8357
0.019
3.89
3000
0.3011
19.8220
Framework versions
Transformers 4.25.0.dev0
Pytorch 1.12.1
Datasets 2.7.1
Tokenizers 0.13.2
