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--- |
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language: |
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- en |
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license: apache-2.0 |
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base_model: Hanhpt23/whisper-tiny-smmmu |
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tags: |
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- generated_from_trainer |
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metrics: |
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- wer |
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model-index: |
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- name: Hanhpt23/whisper-tiny-smmmu |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# Hanhpt23/whisper-tiny-smmmu |
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This model is a fine-tuned version of [Hanhpt23/whisper-tiny-smmmu](https://huggingface.co/Hanhpt23/whisper-tiny-smmmu) on the Hanhpt23/SLISA dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0002 |
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- Wer: 0.0 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0001 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 100 |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| 0.0873 | 1.0 | 30 | 0.0128 | 0.2480 | |
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| 0.0156 | 2.0 | 60 | 0.0052 | 3.2398 | |
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| 0.0062 | 3.0 | 90 | 0.0070 | 0.1705 | |
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| 0.0101 | 4.0 | 120 | 0.0349 | 2.4027 | |
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| 0.0251 | 5.0 | 150 | 0.0085 | 0.2325 | |
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| 0.0124 | 6.0 | 180 | 0.0091 | 0.1860 | |
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| 0.016 | 7.0 | 210 | 0.0031 | 0.0465 | |
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| 0.0039 | 8.0 | 240 | 0.0020 | 0.0465 | |
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| 0.0044 | 9.0 | 270 | 0.0003 | 0.0155 | |
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| 0.0003 | 10.0 | 300 | 0.0002 | 0.0 | |
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### Framework versions |
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- Transformers 4.41.1 |
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- Pytorch 2.3.0 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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