README.md

metadata

language:
  - pl
library_name: peft
tags:
  - generated_from_trainer
base_model: openai/whisper-base
datasets:
  - mozilla-foundation/common_voice_17_0
model-index:
  - name: Whisper Base Polish PEFT - s22678 prod
    results:
      - task:
          type: automatic-speech-recognition
          name: Automatic Speech Recognition
        dataset:
          name: Common Voice 17.0
          type: mozilla-foundation/common_voice_17_0
          split: test
        metrics:
          - type: wer
            value: 42.070773263433814
            name: WER

Whisper Base Polish PEFT - s22678 prod

This model is a fine-tuned version of openai/openai/whisper-base on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:

• Loss: 0.5546

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: 0.001
• train_batch_size: 52
• eval_batch_size: 64
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 50
• num_epochs: 10
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.3265	1.0	400	0.4049
0.2506	2.01	800	0.3920
0.185	3.01	1200	0.3868
0.1506	4.01	1600	0.3859
0.1217	5.01	2000	0.3856
0.0931	6.02	2400	0.3922
0.0698	7.02	2800	0.3999
0.0549	8.02	3200	0.4077
0.0477	9.02	3600	0.4121

Framework versions

• PEFT 0.11.2.dev0
• Transformers 4.36.0
• Pytorch 2.1.0
• Datasets 2.15.0
• Tokenizers 0.15.1