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whisper-small-ger – AI Model by daniel123321 | AlphaNeural AI
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whisper-small-ger
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transformers
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-small
finetune
apache-2.0
endpoints_compatible
us
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whisper-small-ger
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: 0.3770
Wer: 26.2540
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: 0.0001
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: 50
training_steps: 1000
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.7151
0.07
200
0.6823
34.0413
0.5949
0.13
400
0.6183
40.4059
0.5127
0.2
600
0.5119
27.8722
0.4318
0.27
800
0.4223
26.6114
0.352
0.33
1000
0.3770
26.2540
Framework versions
Transformers 4.38.0.dev0
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0
