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whisper-small-ablation-0-3 – AI Model by octava | AlphaNeural AI
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octava
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whisper-small-ablation-0-3
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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-0-3
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: 0.6146
Wer: 20.6268
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: 2
total_train_batch_size: 32
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
0.0159
7.9365
500
0.5385
20.5605
0.0015
15.8730
1000
0.6146
20.6268
Framework versions
Transformers 4.45.0
Pytorch 2.8.0+cu128
Datasets 3.0.1
Tokenizers 0.20.0
