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tokomni-whisper-i2 – AI Model by OverloadedOperator | AlphaNeural AI
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tokomni-whisper-i2
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peft
tensorboard
safetensors
hf-asr-leaderboard
generated_from_trainer
he
imvladikon/hebrew_speech_kan
openai/whisper-tiny
adapter
apache-2.0
us
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TK_Whisper_ASR
This model is a fine-tuned version of
openai/whisper-tiny
on the KAN Hebrew Speech dataset. It achieves the following results on the evaluation set:
Loss: 6.4006
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: 2
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
1
6.4006
No log
2.0
2
6.4006
No log
3.0
3
6.4006
Framework versions
PEFT 0.9.0
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.0
