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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: openai/whisper-tiny |
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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: openai/whisper-tiny |
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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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# openai/whisper-tiny |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the pphuc25/EngMed dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3026 |
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- Wer: 27.9008 |
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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: 20 |
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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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| 0.6316 | 1.0 | 323 | 0.7416 | 27.0570 | |
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| 0.3434 | 2.0 | 646 | 0.8113 | 45.2004 | |
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| 0.1758 | 3.0 | 969 | 0.9400 | 37.6055 | |
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| 0.0946 | 4.0 | 1292 | 0.9426 | 45.8861 | |
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| 0.0614 | 5.0 | 1615 | 1.0252 | 40.0844 | |
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| 0.0435 | 6.0 | 1938 | 1.0605 | 23.1540 | |
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| 0.0235 | 7.0 | 2261 | 1.1076 | 29.8523 | |
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| 0.02 | 8.0 | 2584 | 1.1745 | 47.3101 | |
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| 0.0197 | 9.0 | 2907 | 1.1967 | 34.4937 | |
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| 0.0094 | 10.0 | 3230 | 1.2394 | 28.4283 | |
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| 0.0065 | 11.0 | 3553 | 1.2382 | 53.3755 | |
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| 0.0024 | 12.0 | 3876 | 1.2605 | 37.8165 | |
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| 0.0036 | 13.0 | 4199 | 1.2512 | 29.9051 | |
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| 0.002 | 14.0 | 4522 | 1.2735 | 32.7004 | |
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| 0.001 | 15.0 | 4845 | 1.2824 | 25.4747 | |
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| 0.0005 | 16.0 | 5168 | 1.2930 | 24.8945 | |
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| 0.0003 | 17.0 | 5491 | 1.2919 | 27.5844 | |
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| 0.0004 | 18.0 | 5814 | 1.3033 | 25.1055 | |
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| 0.0002 | 19.0 | 6137 | 1.2996 | 27.6371 | |
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| 0.0002 | 20.0 | 6460 | 1.3026 | 27.9008 | |
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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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