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open-ai-small-2
jadasdn/open-ai-small-2
open-ai-small-2 is a automatic speech recognition model from jadasdn. 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 29, 2023
- Updated
- Nov 29, 2023
- SHA
- 3b29408d
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. -->
open-ai-small-2
This model is a fine-tuned version of jadasdn/open-ai-small-1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3953
- Wer: 21.4497
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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1941 | 2.0 | 1000 | 0.2854 | 21.5383 |
| 0.0212 | 4.0 | 2000 | 0.3384 | 18.9827 |
| 0.0032 | 6.0 | 3000 | 0.3801 | 20.4698 |
| 0.0015 | 8.0 | 4000 | 0.3953 | 21.4497 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Nov 29, 2023
- Updated
- Nov 29, 2023