README.md

metadata

language:
  - ka
license: apache-2.0
base_model: openai/whisper-small
tags:
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: Whisper Small Ka - tsobolev
    results: []
pipeline_tag: automatic-speech-recognition

Whisper Small Ka - tsobolev

This model is a fine-tuned version of openai/whisper-small on the CV14 dataset. It achieves the following results on the test set:

• Loss: 0.0542
• Wer Ortho: 0.2785
• Wer: 0.2470

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

Training - Mozilla Common Voice 14 train split Validation - Mozilla Common Voice 14 test split

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 1e-05
• train_batch_size: 16
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 50
• training_steps: 5000

Training results

Training Loss	Epoch	Step	Validation Loss	Wer Ortho	Wer
0.0123	2.76	5000	0.0542	0.2785	0.2470

Framework versions

• Transformers 4.32.1
• Pytorch 2.0.0
• Datasets 2.14.4
• Tokenizers 0.13.3