metadata
library_name: transformers
language:
- ru
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
datasets:
- fsicoli/common_voice_18_0
metrics:
- wer
model-index:
- name: Whisper Small CV 18 - Garon
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: Common Voice 18.0 Ru
type: fsicoli/common_voice_18_0
config: ru
split: None
args: 'split: train, test'
metrics:
- name: Wer
type: wer
value: 16.3383290187019
Whisper Small CV 18 - Garon
This model is a fine-tuned version of openai/whisper-small on the Common Voice 18.0 Ru dataset. It achieves the following results on the evaluation set:
- Loss: 0.2906
- Wer: 16.3383
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: 32
- eval_batch_size: 32
- 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.2603 | 1.0 | 826 | 0.2231 | 18.2503 |
| 0.1298 | 2.0 | 1652 | 0.2108 | 17.0453 |
| 0.0586 | 3.0 | 2478 | 0.2165 | 16.8375 |
| 0.0271 | 4.0 | 3304 | 0.2315 | 16.7760 |
| 0.0122 | 5.0 | 4130 | 0.2478 | 16.7864 |
| 0.0057 | 6.0 | 4956 | 0.2667 | 16.5670 |
| 0.0029 | 7.0 | 5782 | 0.2727 | 16.2594 |
| 0.0018 | 8.0 | 6608 | 0.2833 | 16.3743 |
| 0.0013 | 9.0 | 7434 | 0.2885 | 16.2594 |
| 0.0011 | 10.0 | 8260 | 0.2906 | 16.3383 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0