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aleksis_heb_small – AI Model by Alex2575 | AlphaNeural AI
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Alex2575
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aleksis_heb_small
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transformers
pytorch
whisper
automatic-speech-recognition
generated_from_trainer
he
Alex2575/heb_anna
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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aleksis_heb
This model is a fine-tuned version of
openai/whisper-small
on the heb_anna dataset. It achieves the following results on the evaluation set:
Loss: 0.0275
Wer Ortho: 3.6818
Wer: 3.6815
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: 1
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_steps: 50
training_steps: 500
Training results
Training Loss
Epoch
Step
Validation Loss
Wer Ortho
Wer
0.0223
4.24
500
0.0275
3.6818
3.6815
Framework versions
Transformers 4.34.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3
