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whisper-large-coes
Cristhian2430/whisper-large-coes
whisper-large-coes is a automatic speech recognition model from Cristhian2430. 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
- Sep 19, 2023
- Updated
- Oct 15, 2023
- SHA
- 59e9b91d
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 Large SEIN - COES SEIN
This model is a fine-tuned version of openai/whisper-large on the SEIN COES dataset. It achieves the following results on the evaluation set:
- Loss: 0.0000
- Wer: 41.3688
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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0001 | 153.85 | 1000 | 0.0001 | 53.5687 |
| 0.0001 | 307.69 | 2000 | 0.0001 | 39.7393 |
| 0.0 | 461.54 | 3000 | 0.0000 | 42.4443 |
| 0.0 | 615.38 | 4000 | 0.0000 | 41.3688 |
Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.0
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- es
- Created
- Sep 19, 2023
- Updated
- Oct 15, 2023