README.md

metadata

license: apache-2.0
tags:
  - whisper-event
  - generated_from_trainer
datasets:
  - google/fleurs
metrics:
  - wer
model-index:
  - name: Whisper medium Croatian El Greco
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: google/fleurs hr_hr
          type: google/fleurs
          config: zu
          split: None
        metrics:
          - name: Wer
            type: wer
            value: 14.613261224719734

Whisper medium Croatian El Greco

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

• Loss: 0.3374
• Wer: 14.6133

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: 3e-06
• train_batch_size: 32
• eval_batch_size: 16
• seed: 42
• distributed_type: multi-GPU
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• training_steps: 1000

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0106	4.61	1000	0.3374	14.6133

Framework versions

• Transformers 4.26.0.dev0
• Pytorch 2.0.0.dev20221216+cu116
• Datasets 2.7.1.dev0
• Tokenizers 0.13.2