README.md

metadata

language:
  - he
license: apache-2.0
base_model: openai/whisper-tiny
tags:
  - hf-asr-leaderboard
  - generated_from_trainer
datasets:
  - imvladikon/hebrew_speech_kan
model-index:
  - name: TK_Whisper_ASR
    results: []

TK_Whisper_ASR

This model is a fine-tuned version of openai/whisper-tiny on the KAN Hebrew Speech dataset.

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
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• training_steps: 10
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.38.2
• Pytorch 2.2.1+cu118
• Datasets 2.18.0
• Tokenizers 0.15.0