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gwanju4_test__model
Marcusxx/gwanju4_test__model
gwanju4_test__model is a machine learning model from Marcusxx. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Jan 14, 2025
- Updated
- Jan 14, 2025
- SHA
- 98304898
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. -->
gwanju4_test__model
This model is a fine-tuned version of openai/whisper-medium on the Marcusxx/gwanju4 dataset. It achieves the following results on the evaluation set:
- Loss: 2.5722
- Cer: 275.0
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
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 250
- training_steps: 1000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 1.9955 | 50.0 | 50 | 4.8936 | 425.0 |
| 0.3976 | 100.0 | 100 | 2.6194 | 275.0 |
| 0.0001 | 150.0 | 150 | 2.5074 | 275.0 |
| 0.0 | 200.0 | 200 | 2.4715 | 325.0 |
| 0.0 | 250.0 | 250 | 2.4384 | 325.0 |
| 0.0 | 300.0 | 300 | 2.3972 | 275.0 |
| 0.0 | 350.0 | 350 | 2.3937 | 275.0 |
| 0.0 | 400.0 | 400 | 2.4084 | 275.0 |
| 0.0 | 450.0 | 450 | 2.4310 | 275.0 |
| 0.0 | 500.0 | 500 | 2.4561 | 275.0 |
| 0.0 | 550.0 | 550 | 2.4782 | 275.0 |
| 0.0 | 600.0 | 600 | 2.5006 | 275.0 |
| 0.0 | 650.0 | 650 | 2.5150 | 275.0 |
| 0.0 | 700.0 | 700 | 2.5310 | 275.0 |
| 0.0 | 750.0 | 750 | 2.5415 | 275.0 |
| 0.0 | 800.0 | 800 | 2.5517 | 275.0 |
| 0.0 | 850.0 | 850 | 2.5592 | 275.0 |
| 0.0 | 900.0 | 900 | 2.5674 | 275.0 |
| 0.0 | 950.0 | 950 | 2.5723 | 275.0 |
| 0.0 | 1000.0 | 1000 | 2.5722 | 275.0 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.2.2+cu121
- Datasets 3.2.0
- Tokenizers 0.19.1
- Type
- whisper
- License
- apache-2.0
- Languages
- ko
- Created
- Jan 14, 2025
- Updated
- Jan 14, 2025