README.md

metadata

language:
  - pl
license: apache-2.0
base_model: Maks545curve/whisper-small-new-ru-a
tags:
  - generated_from_trainer
datasets:
  - mozilla-foundation/common_voice_17_0
metrics:
  - wer
model-index:
  - name: Whisper Small new-ru-pl AIIA
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: Common Voice 17
          type: mozilla-foundation/common_voice_17_0
          config: pl
          split: test
          args: pl
        metrics:
          - name: Wer
            type: wer
            value: 16.379563329029228

Whisper Small new-ru-pl AIIA

This model is a fine-tuned version of Maks545curve/whisper-small-new-ru-a on the Common Voice 17 dataset. It achieves the following results on the evaluation set:

• Loss: 0.3382
• Wer Ortho: 25.7888
• Wer: 16.3796

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-05
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant_with_warmup
• lr_scheduler_warmup_steps: 70
• training_steps: 1000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer Ortho	Wer
0.344	0.5336	500	0.3786	29.1204	18.2225
0.2073	1.0672	1000	0.3382	25.7888	16.3796

Framework versions

• Transformers 4.41.2
• Pytorch 2.3.1+cpu
• Datasets 2.20.0
• Tokenizers 0.19.1