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--- |
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license: apache-2.0 |
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base_model: openai/whisper-tiny.en |
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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: whisper4 |
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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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# whisper4 |
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This model is a fine-tuned version of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.en) on the tiny dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5409 |
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- Wer: 28.2719 |
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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: 128 |
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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: 500 |
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- training_steps: 300 |
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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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| 3.8231 | 0.2778 | 10 | 3.7088 | 76.9377 | |
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| 3.1925 | 0.5556 | 20 | 2.9439 | 65.5654 | |
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| 2.1383 | 0.8333 | 30 | 1.7221 | 61.5311 | |
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| 1.0671 | 1.1111 | 40 | 0.8320 | 50.6989 | |
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| 0.6947 | 1.3889 | 50 | 0.6587 | 41.0102 | |
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| 0.6263 | 1.6667 | 60 | 0.5874 | 29.7967 | |
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| 0.5827 | 1.9444 | 70 | 0.5402 | 27.3825 | |
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| 0.4222 | 2.2222 | 80 | 0.5154 | 32.0521 | |
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| 0.4065 | 2.5 | 90 | 0.4997 | 25.6989 | |
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| 0.3959 | 2.7778 | 100 | 0.4804 | 23.8247 | |
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| 0.3081 | 3.0556 | 110 | 0.4670 | 24.8412 | |
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| 0.2497 | 3.3333 | 120 | 0.4687 | 23.2846 | |
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| 0.2535 | 3.6111 | 130 | 0.4594 | 23.0940 | |
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| 0.2428 | 3.8889 | 140 | 0.4545 | 23.5070 | |
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| 0.1627 | 4.1667 | 150 | 0.4651 | 24.4917 | |
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| 0.1224 | 4.4444 | 160 | 0.4686 | 23.6976 | |
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| 0.1326 | 4.7222 | 170 | 0.4653 | 23.6976 | |
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| 0.1334 | 5.0 | 180 | 0.4741 | 24.7459 | |
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| 0.0659 | 5.2778 | 190 | 0.4792 | 24.6823 | |
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| 0.0639 | 5.5556 | 200 | 0.4760 | 33.3863 | |
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| 0.0667 | 5.8333 | 210 | 0.4820 | 25.4765 | |
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| 0.042 | 6.1111 | 220 | 0.4933 | 29.4155 | |
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| 0.0325 | 6.3889 | 230 | 0.5066 | 29.9873 | |
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| 0.0333 | 6.6667 | 240 | 0.5126 | 26.0801 | |
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| 0.0333 | 6.9444 | 250 | 0.5073 | 24.6188 | |
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| 0.0187 | 7.2222 | 260 | 0.5129 | 27.3507 | |
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| 0.0214 | 7.5 | 270 | 0.5209 | 28.2084 | |
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| 0.0187 | 7.7778 | 280 | 0.5213 | 29.3202 | |
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| 0.0312 | 8.0556 | 290 | 0.5274 | 34.6569 | |
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| 0.0172 | 8.3333 | 300 | 0.5409 | 28.2719 | |
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### Framework versions |
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- Transformers 4.40.1 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.1.dev0 |
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- Tokenizers 0.19.1 |
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