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train-test-valid – AI Model by mmtg | AlphaNeural AI
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train-test-valid
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-base
finetune
apache-2.0
endpoints_compatible
us
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train-test-valid
This model is a fine-tuned version of
openai/whisper-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.2197
Wer: 73.5930
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: 3e-05
train_batch_size: 12
eval_batch_size: 4
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: 5000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0002
23.8095
1000
1.1097
77.0127
0.0001
47.6190
2000
1.1609
74.0991
0.0001
71.4286
3000
1.1919
73.0716
0.0
95.2381
4000
1.2115
73.3783
0.0
119.0476
5000
1.2197
73.5930
Framework versions
Transformers 4.41.2
Pytorch 2.1.2+cu121
Datasets 2.19.2
Tokenizers 0.19.1
