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whisper-small-cs – AI Model by kvanberendonck-bethel | AlphaNeural AI
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tensorboard
safetensors
whisper
generated_from_trainer
cs
mozilla-foundation/common_voice_11_0
openai/whisper-small
finetune
apache-2.0
model-index
us
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Whisper small cs - Michel Mesquita
This model is a fine-tuned version of
openai/whisper-small
on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.0257
Wer: 2.0313
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
gradient_accumulation_steps: 4
total_train_batch_size: 64
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
0.1454
0.7068
1000
0.1565
14.5159
0.0592
1.4137
2000
0.0788
7.5455
0.0211
2.1205
3000
0.0373
3.2501
0.0154
2.8274
4000
0.0257
2.0313
Framework versions
Transformers 4.44.0
Pytorch 2.3.1+cu121
Datasets 2.21.0
Tokenizers 0.19.1