README.md

metadata

language:
  - pl
library_name: peft
tags:
  - generated_from_trainer
datasets:
  - mozilla-foundation/common_voice_17_0
base_model: openai/whisper-base
model-index:
  - name: Whisper Base Polish PEFT - s22678 prod
    results: []

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: 1.8904

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
• training_steps: 10
• mixed_precision_training: Native AMP

Training results

Framework versions

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