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whisper-small-ablation-add-NLD-85 – AI Model by octava | AlphaNeural AI
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octava
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whisper-small-ablation-add-NLD-85
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
fleurs
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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whisper-small-ablation-add-NLD-85
This model is a fine-tuned version of
openai/whisper-small
on the fleurs dataset. It achieves the following results on the evaluation set:
Loss: 0.4316
Wer: 17.0870
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: 32
eval_batch_size: 16
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: 1000
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.34
0.4890
200
0.4104
18.5619
0.2569
0.9780
400
0.4186
18.9012
0.1791
1.4670
600
0.4153
18.3038
0.1565
1.9560
800
0.4289
17.4041
0.0877
2.4450
1000
0.4316
17.0870
Framework versions
Transformers 4.45.0
Pytorch 2.11.0+cu130
Datasets 3.0.1
Tokenizers 0.20.0
