metadata

language:
  - en
license: apache-2.0
base_model: openai/whisper-base
tags:
  - whisper-event
  - generated_from_trainer
datasets:
  - tericlabs
model-index:
  - name: Whisper base ganda
    results: []

Whisper base ganda

This model is a fine-tuned version of openai/whisper-base on the Youtube data dataset. It achieves the following results on the evaluation set:

eval_loss: 0.4484
eval_wer: 8.6957
eval_runtime: 3.9989
eval_samples_per_second: 2.001
eval_steps_per_second: 2.001
epoch: 357.1429
step: 2500

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: 4
eval_batch_size: 1
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: 15000
mixed_precision_training: Native AMP

Framework versions

Transformers 4.42.0.dev0
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1