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whisper-small-hr – AI Model by mapau | AlphaNeural AI
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mapau
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whisper-small-hr
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
hr
parlaSmall
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Small Croatian
This model is a fine-tuned version of
openai/whisper-small
on the parlaSmall_subset dataset. It achieves the following results on the evaluation set:
Loss: 0.5739
Wer: 25.4408
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: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
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
0.0003
32.52
1000
0.5073
25.0630
0.0001
65.04
2000
0.5470
25.5668
0.0001
97.56
3000
0.5668
25.0630
0.0
130.08
4000
0.5739
25.4408
Framework versions
Transformers 4.39.3
Pytorch 2.0.0
Datasets 2.19.1
Tokenizers 0.15.1
