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acholi_asr
Eyesiga/acholi_asr
acholi_asr is a automatic speech recognition model from Eyesiga. 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
- Jan 23, 2024
- Updated
- Feb 19, 2024
- SHA
- f012722d
Base models
Datasets
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 base acholi
This model is a fine-tuned version of openai/whisper-small on the Sunbird dataset. It achieves the following results on the evaluation set:
- Loss: 2.8895
- Wer: 122.2638
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: 1000
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 3.2321 | 3.32 | 1000 | 2.9610 | 140.3181 |
| 2.5056 | 6.64 | 2000 | 2.7358 | 116.9317 |
| 2.0671 | 9.97 | 3000 | 2.7957 | 144.9953 |
| 1.7382 | 13.29 | 4000 | 2.8895 | 122.2638 |
Framework versions
- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- ac
- Created
- Jan 23, 2024
- Updated
- Feb 19, 2024