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whisper-small-decoder – AI Model by shg1421 | AlphaNeural AI | AlphaNeural AI
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whisper-small-decoder
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whisper
automatic-speech-recognition
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generated_from_trainer
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openai/whisper-small
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apache-2.0
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Whisper
This model is a fine-tuned version of
openai/whisper-small
on the immunology dataset dataset. It achieves the following results on the evaluation set:
Loss: 0.3409
Wer: 10.5283
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: 500
training_steps: 4000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0305
4.55
1000
0.2471
11.1359
0.0117
9.09
2000
0.3168
10.3795
0.0024
13.64
3000
0.3312
10.4291
0.0006
18.18
4000
0.3409
10.5283
Framework versions
Transformers 4.39.0.dev0
Pytorch 1.12.1+cu102
Datasets 2.15.0
Tokenizers 0.15.0
