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whisper-large-pt
Rafaelrosendo1/whisper-large-pt
whisper-large-pt is a automatic speech recognition model from Rafaelrosendo1. 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
- Jun 29, 2024
- Updated
- Jul 9, 2024
- SHA
- 9722fd5b
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-pt
This model is a fine-tuned version of Rafaelrosendo1/whisper-large-pt on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2494
- Wer: 23.0283
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-08
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- training_steps: 9000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0038 | 21.4 | 9000 | 0.2494 | 23.0283 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.3.0+cu121
- Datasets 2.12.0
- Tokenizers 0.14.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Jun 29, 2024
- Updated
- Jul 9, 2024