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all_asr – AI Model by fruk19 | AlphaNeural AI
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all_asr
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
th
aicookcook
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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all_asr
This model is a fine-tuned version of
openai/whisper-small
on the aicookcook dataset. It achieves the following results on the evaluation set:
Loss: 0.1879
Wer: 18.2630
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: 5
eval_batch_size: 5
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 200
training_steps: 5000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0586
3.0048
2500
0.1755
19.9779
0.0038
6.0096
5000
0.1879
18.2630
Framework versions
Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
