metadata

language:
  - he
license: apache-2.0
base_model: openai/whisper-medium
tags:
  - hf-asr-leaderboard
  - generated_from_trainer
model-index:
  - name: he
    results: []

he

This model is a fine-tuned version of openai/whisper-medium on an unknown 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: 8e-05
train_batch_size: 12
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: 20
training_steps: 10000
mixed_precision_training: Native AMP

Framework versions

Transformers 4.36.2
Pytorch 1.13.1+cu117
Datasets 2.16.1
Tokenizers 0.15.0