metadata

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: []

whisper-large-v3-hebrew

This model is a fine-tuned version of 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