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whisper_peft_vi_nam
Namkoy/whisper_peft_vi_nam
whisper_peft_vi_nam is a machine learning model from Namkoy. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. 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
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Feb 17, 2024
- Updated
- Feb 23, 2024
- SHA
- 8bd239e8
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_vietnam_nam
This model is a fine-tuned version of openai/whisper-large-v2 on the mozilla-foundation/common_voice_11_0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.3897
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
WER = 0,21789669
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.001
- train_batch_size: 8
- 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: 50
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2417 | 1.0 | 347 | 0.4081 |
| 0.1389 | 2.0 | 694 | 0.3732 |
| 0.0611 | 3.0 | 1041 | 0.3897 |
Framework versions
- PEFT 0.8.2
- Transformers 4.39.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
- Library
- peft
- License
- apache-2.0
- Languages
- vi
- Created
- Feb 17, 2024
- Updated
- Feb 23, 2024