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whisper-small-sr-jv
Sagicc/whisper-small-sr-jv
whisper-small-sr-jv is a automatic speech recognition model from Sagicc. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Nov 28, 2023
- Updated
- Dec 1, 2023
- SHA
- 0c80c44d
Base models
Model card
From the Hugging Face model README
<!-- 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 Sr JV
This model is a fine-tuned version of openai/whisper-small on the Juzne Vesti dataset. It achieves the following results on the evaluation set:
- Loss: 0.8988
- Wer Ortho: 0.4591
- Wer: 0.3415
Model description
Dataset Juzne vesti is published by
Rupnik, Peter and Ljubešić, Nikola, 2022,
ASR training dataset for Serbian JuzneVesti-SR v1.0, Slovenian language resource repository CLARIN.SI, ISSN 2820-4042,
http://hdl.handle.net/11356/1679.
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: linear
- lr_scheduler_warmup_steps: 50
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
|---|---|---|---|---|---|
| 0.5956 | 0.74 | 500 | 0.8063 | 0.4794 | 0.3674 |
| 0.4401 | 1.48 | 1000 | 0.7975 | 0.4574 | 0.3423 |
| 0.3029 | 2.22 | 1500 | 0.7821 | 0.4512 | 0.3392 |
| 0.3016 | 2.96 | 2000 | 0.7828 | 0.4497 | 0.3318 |
| 0.2372 | 3.7 | 2500 | 0.8254 | 0.4503 | 0.3335 |
| 0.1762 | 4.44 | 3000 | 0.8402 | 0.4505 | 0.3381 |
| 0.1414 | 5.18 | 3500 | 0.8945 | 0.4584 | 0.3418 |
| 0.1326 | 5.92 | 4000 | 0.8988 | 0.4591 | 0.3415 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.14.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- sr
- Created
- Nov 28, 2023
- Updated
- Dec 1, 2023