|
--- |
|
language: |
|
- sl |
|
license: apache-2.0 |
|
base_model: openai/whisper-small |
|
tags: |
|
- hf-asr-leaderboard |
|
- generated_from_trainer |
|
model-index: |
|
- name: Whisper Small Sl - samolego |
|
results: [] |
|
--- |
|
|
|
|
|
# Whisper Small Sl - samolego |
|
|
|
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the |
|
ASR database [ARTUR 1.0 (audio) dataset](https://www.clarin.si/repository/xmlui/handle/11356/1776#). 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](https://github.com/ggerganov/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 |
|
|