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christoph-sl – AI Model by marmaladehq | AlphaNeural AI
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christoph-sl
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transformers
pytorch
tensorboard
whisper
automatic-speech-recognition
generated_from_trainer
common_voice_11_0
apache-2.0
model-index
endpoints_compatible
us
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christoph-sl
This model is a fine-tuned version of
openai/whisper-large
on the common_voice_11_0 dataset. It achieves the following results on the evaluation set:
Loss: 0.3313
Wer: 20.0641
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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
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
0.0153
6.08
1000
0.2795
26.4607
0.0013
12.16
2000
0.3083
22.2352
0.0001
18.24
3000
0.3251
21.5066
0.0001
24.32
4000
0.3313
20.0641
Framework versions
Transformers 4.28.0.dev0
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2
