|
--- |
|
language: |
|
- sl |
|
license: apache-2.0 |
|
base_model: openai/whisper-small |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- mozilla-foundation/common_voice_13_0 |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: Whisper Small Sl - Padajno |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: Common Voice 13 |
|
type: mozilla-foundation/common_voice_13_0 |
|
config: sl |
|
split: test |
|
args: sl |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 25.936967632027258 |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# Whisper Small Sl - Padajno |
|
|
|
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 13 dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.3707 |
|
- Wer Ortho: 28.2066 |
|
- Wer: 25.9370 |
|
|
|
## 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: 1e-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: constant_with_warmup |
|
- lr_scheduler_warmup_steps: 50 |
|
- training_steps: 600 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer | |
|
|:-------------:|:------:|:----:|:---------------:|:---------:|:-------:| |
|
| 0.9497 | 0.6135 | 100 | 0.8683 | 37.6703 | 35.8745 | |
|
| 0.171 | 1.2270 | 200 | 0.3742 | 33.4847 | 31.2039 | |
|
| 0.1841 | 1.8405 | 300 | 0.3407 | 31.0585 | 28.7337 | |
|
| 0.0592 | 2.4540 | 400 | 0.3492 | 29.5545 | 27.1153 | |
|
| 0.0434 | 3.0675 | 500 | 0.3624 | 29.7106 | 27.2572 | |
|
| 0.027 | 3.6810 | 600 | 0.3707 | 28.2066 | 25.9370 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.41.1 |
|
- Pytorch 2.3.0+cu121 |
|
- Datasets 2.19.1 |
|
- Tokenizers 0.19.1 |
|
|
