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veract-11-biov4.en – AI Model by veract | AlphaNeural AI
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veract
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veract-11-biov4.en
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transformers
tensorboard
onnx
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-tiny.en
quantized
apache-2.0
endpoints_compatible
us
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veract-11-biov4.en
This model is a fine-tuned version of
openai/whisper-tiny.en
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.3894
Wer: 131.7829
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: 20
training_steps: 100
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
3.481
25.0
50
2.3688
91.4729
1.6404
50.0
100
1.3894
131.7829
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.15.0
Tokenizers 0.15.0
