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whisper-calls-small – AI Model by SteffenSeiffarth | AlphaNeural AI
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SteffenSeiffarth
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whisper-calls-small
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transformers
pytorch
whisper
automatic-speech-recognition
generated_from_trainer
apache-2.0
endpoints_compatible
us
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whisper-calls-small
This model is a fine-tuned version of
openai/whisper-small
on the None dataset. Just a test, probably not a very good model
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: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
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
0.076
4.03
1000
0.0481
4.1883
0.0068
8.06
2000
0.0049
0.6362
0.0011
12.1
3000
0.0012
0.0157
0.0005
16.13
4000
0.0006
0.0
Framework versions
Transformers 4.26.0.dev0
Pytorch 1.13.0+cu117
Datasets 2.7.1
Tokenizers 0.13.2
