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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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base_model: openai/whisper-medium |
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datasets: |
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- generator |
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metrics: |
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- wer |
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model-index: |
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- name: whisper-medium-lug-only |
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results: |
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- task: |
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type: automatic-speech-recognition |
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name: Automatic Speech Recognition |
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dataset: |
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name: generator |
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type: generator |
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config: default |
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split: train |
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args: default |
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metrics: |
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- type: wer |
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value: 9.766162310866575 |
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name: Wer |
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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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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/bakera-sunbird/huggingface/runs/rim7iyop) |
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# whisper-medium-lug-only |
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the generator dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1551 |
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- Wer: 9.7662 |
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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: 1e-05 |
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- train_batch_size: 16 |
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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: 8000 |
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- mixed_precision_training: Native AMP |
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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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| 1.1474 | 0.025 | 200 | 0.7380 | 71.3893 | |
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| 0.7879 | 0.05 | 400 | 0.4461 | 44.7043 | |
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| 0.6541 | 0.075 | 600 | 0.3394 | 32.3246 | |
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| 0.5203 | 0.1 | 800 | 0.2949 | 26.5475 | |
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| 0.509 | 0.125 | 1000 | 0.2774 | 24.2091 | |
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| 0.4753 | 0.15 | 1200 | 0.2505 | 20.4952 | |
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| 0.4726 | 0.175 | 1400 | 0.2375 | 20.7703 | |
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| 0.4145 | 0.2 | 1600 | 0.2313 | 18.2944 | |
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| 0.418 | 0.225 | 1800 | 0.2265 | 18.8446 | |
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| 0.4032 | 0.25 | 2000 | 0.2267 | 18.7070 | |
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| 0.3797 | 0.275 | 2200 | 0.2184 | 16.2311 | |
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| 0.3773 | 0.3 | 2400 | 0.2084 | 14.4429 | |
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| 0.3497 | 0.325 | 2600 | 0.1993 | 15.2682 | |
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| 0.3657 | 0.35 | 2800 | 0.1951 | 15.4058 | |
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| 0.3686 | 0.375 | 3000 | 0.1882 | 13.2050 | |
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| 0.3363 | 0.4 | 3200 | 0.1848 | 14.3054 | |
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| 0.3286 | 0.425 | 3400 | 0.1769 | 13.8927 | |
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| 0.3193 | 0.45 | 3600 | 0.1786 | 12.5172 | |
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| 0.3352 | 0.475 | 3800 | 0.1758 | 11.9670 | |
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| 0.3182 | 0.5 | 4000 | 0.1737 | 13.3425 | |
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| 0.2967 | 0.525 | 4200 | 0.1699 | 12.9298 | |
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| 0.3078 | 0.55 | 4400 | 0.1719 | 12.3796 | |
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| 0.2788 | 0.575 | 4600 | 0.1663 | 12.2421 | |
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| 0.2302 | 1.0075 | 4800 | 0.1678 | 11.4168 | |
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| 0.2109 | 1.0325 | 5000 | 0.1696 | 11.1417 | |
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| 0.1932 | 1.0575 | 5200 | 0.1713 | 11.2792 | |
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| 0.2128 | 1.0825 | 5400 | 0.1663 | 12.6547 | |
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| 0.2269 | 1.1075 | 5600 | 0.1621 | 12.2421 | |
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| 0.2324 | 1.1325 | 5800 | 0.1581 | 11.2792 | |
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| 0.2083 | 1.1575 | 6000 | 0.1579 | 11.1417 | |
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| 0.2156 | 1.1825 | 6200 | 0.1543 | 10.4539 | |
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| 0.2113 | 1.2075 | 6400 | 0.1551 | 9.7662 | |
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| 0.2235 | 1.2325 | 6600 | 0.1550 | 10.5915 | |
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| 0.2137 | 1.2575 | 6800 | 0.1537 | 10.4539 | |
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| 0.1989 | 1.2825 | 7000 | 0.1536 | 9.9037 | |
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| 0.2014 | 1.3075 | 7200 | 0.1515 | 10.1788 | |
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| 0.2109 | 1.3325 | 7400 | 0.1488 | 10.3164 | |
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| 0.1975 | 1.3575 | 7600 | 0.1500 | 10.5915 | |
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| 0.1754 | 1.3825 | 7800 | 0.1494 | 10.0413 | |
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| 0.182 | 1.4075 | 8000 | 0.1487 | 10.0413 | |
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### Framework versions |
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- Transformers 4.41.0.dev0 |
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- Pytorch 2.2.0 |
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- Datasets 2.16.1 |
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- Tokenizers 0.19.1 |
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