---
base_model: openai/whisper-large-v3
datasets:
- common_voice_17_0
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: whisper-large-v3-hebrew
  results: []
---

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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/adarcook-synassoc/huggingface/runs/zme6tbh2)
# whisper-large-v3-hebrew

This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co./openai/whisper-large-v3) on the common_voice_17_0 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: 2e-05
- train_batch_size: 2
- eval_batch_size: 8
- 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: 500
- training_steps: 100
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.42.3
- Pytorch 2.1.2+cu118
- Datasets 2.20.0
- Tokenizers 0.19.1