README.md

metadata

language:
  - el
license: apache-2.0
tags:
  - >-
    hf-asr-leaderboard, whisper-medium, mozilla-foundation/common_voice_11_0,
    greek, whisper-event
  - generated_from_trainer
datasets:
  - mozilla-foundation/common_voice_11_0
model-index:
  - name: Whisper Medium El Greco
    results: []

Whisper Medium El Greco

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

• eval_loss: 0.3854
• eval_wer: 11.4506
• eval_runtime: 1107.1212
• eval_samples_per_second: 1.532
• eval_steps_per_second: 0.096
• epoch: 33.98
• step: 7000

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: 32
• eval_batch_size: 16
• 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: 7000
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.26.0.dev0
• Pytorch 1.13.0+cu117
• Datasets 2.7.1.dev0
• Tokenizers 0.13.2