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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: 1.6241 |
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- Wer: 29.3019 |
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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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| 0.8114 | 1.0 | 2266 | 0.8947 | 35.8609 | |
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| 0.5582 | 2.0 | 4532 | 0.9096 | 44.9746 | |
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| 0.3646 | 3.0 | 6798 | 0.9616 | 33.8310 | |
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| 0.2497 | 4.0 | 9064 | 1.0257 | 35.3593 | |
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| 0.1953 | 5.0 | 11330 | 1.1146 | 33.6587 | |
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| 0.1151 | 6.0 | 13596 | 1.2047 | 35.6933 | |
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| 0.083 | 7.0 | 15862 | 1.2631 | 32.3759 | |
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| 0.068 | 8.0 | 18128 | 1.3303 | 33.5213 | |
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| 0.0389 | 9.0 | 20394 | 1.3732 | 31.8373 | |
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| 0.0272 | 10.0 | 22660 | 1.4187 | 32.7587 | |
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| 0.0244 | 11.0 | 24926 | 1.4516 | 32.2493 | |
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| 0.0173 | 12.0 | 27192 | 1.4985 | 32.1704 | |
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| 0.0109 | 13.0 | 29458 | 1.5192 | 31.6727 | |
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| 0.0045 | 14.0 | 31724 | 1.5456 | 30.2837 | |
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| 0.0043 | 15.0 | 33990 | 1.5739 | 30.1902 | |
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| 0.0017 | 16.0 | 36256 | 1.5916 | 30.6646 | |
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| 0.0006 | 17.0 | 38522 | 1.6012 | 29.8425 | |
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| 0.0002 | 18.0 | 40788 | 1.6050 | 29.3857 | |
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| 0.0013 | 19.0 | 43054 | 1.6176 | 29.7792 | |
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| 0.0001 | 20.0 | 45320 | 1.6241 | 29.3019 | |
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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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