metadata

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

Whisper Small Polish PEFT - s22678 prod

This model is a fine-tuned version of openai/openai/whisper-small on the Common Voice 17.0 and the MultiLingual LibriSpeech datasets. It achieves the following results on the evaluation set:

Loss: 0.2931

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: 32
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: 1000
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.1409	2.67	2500	0.3070

Framework versions

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