Whisper Small Sl - samolego

This model is a fine-tuned version of openai/whisper-small on the ASR database ARTUR 1.0 (audio) dataset. It was trained on Artur-B-brani and Artur-B-Studio. It achieves the following results on the evaluation set:

  • Loss: 0.1226
  • Wer: 11.0097

Model description

Both ggml and safetensors formats are available.

If you're not familiar with ggml, I'd suggest checking out whisper.cpp.

Intended uses & limitations

More information needed

Training and evaluation data

Verdonik, Darinka; et al., 2023, ASR database ARTUR 1.0 (audio), Slovenian language resource repository CLARIN.SI, ISSN 2820-4042, http://hdl.handle.net/11356/1776.

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 5e-05
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3.0

Training results

Training Loss Epoch Step Validation Loss Wer
0.2778 0.07 500 0.2748 23.0421
0.2009 0.14 1000 0.1972 17.3073
0.1643 0.21 1500 0.1658 14.5195
0.1569 0.28 2000 0.1495 13.1550
0.1344 0.36 2500 0.1380 12.2945
0.1295 0.43 3000 0.1302 11.6237
0.1239 0.5 3500 0.1249 11.2128
0.1178 0.57 4000 0.1226 11.0097

Framework versions

  • Transformers 4.39.0.dev0
  • Pytorch 2.0.1+cu117
  • Datasets 2.18.0
  • Tokenizers 0.15.2
Downloads last month
38
Safetensors
Model size
242M params
Tensor type
F32
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for samolego/whisper-small-slovenian

Finetuned
(2097)
this model