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w_f1_v2v_tiny
bhattasp/w_f1_v2v_tiny
w_f1_v2v_tiny is a machine learning model from bhattasp. 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
- Aug 5, 2024
- Updated
- Aug 5, 2024
- SHA
- 50d79477
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. -->
bhattasp/w_f1_v2v_tiny
This model is a fine-tuned version of openai/whisper-tiny on the atcosim dataset. It achieves the following results on the evaluation set:
- Loss: 0.2832
- Wer: 11.5670
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: 500
- training_steps: 2000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0131 | 3.1949 | 1000 | 0.2830 | 11.9115 |
| 0.0012 | 6.3898 | 2000 | 0.2832 | 11.5670 |
Framework versions
- Transformers 4.43.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Type
- whisper
- License
- apache-2.0
- Languages
- en
- Created
- Aug 5, 2024
- Updated
- Aug 5, 2024