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whisper-tiny-ha – AI Model by eldad-akhaumere | AlphaNeural AI
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tensorboard
safetensors
whisper
generated_from_trainer
ha
Seon25/common_voice_16_0_
openai/whisper-tiny
finetune
apache-2.0
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Whisper Tiny Ha - Eldad Akhaumere
This model is a fine-tuned version of
openai/whisper-tiny
on the Common Voice 16.0 dataset. It achieves the following results on the evaluation set:
Loss: 2.5851
Wer Ortho: 108.4180
Wer: 107.2811
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: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_steps: 50
num_epochs: 15.0
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer Ortho
Wer
1.3176
3.1847
500
2.1073
133.8086
132.4392
0.624
6.3694
1000
2.2333
110.4492
111.1324
0.2135
9.5541
1500
2.4375
101.6211
100.4407
0.0593
12.7389
2000
2.5851
108.4180
107.2811
Framework versions
Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
