metadata

language:
  - tr
license: apache-2.0
base_model: openai/whisper-small
tags:
  - hf-asr-leaderboard
  - generated_from_trainer
datasets:
  - mozilla-foundation/common_voice_11_0
model-index:
  - name: Whisper Small Hi TR
    results: []

Whisper Small Hi TR

This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 TR dataset. It achieves the following results on the evaluation set:

eval_loss: 0.6641
eval_wer: 65.9525
eval_runtime: 4603.4147
eval_samples_per_second: 2.203
eval_steps_per_second: 0.275
epoch: 2.21
step: 5000

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: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 10000
mixed_precision_training: Native AMP

Framework versions

Transformers 4.35.2
Pytorch 2.0.1
Datasets 2.15.0
Tokenizers 0.15.0