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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-ach |
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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: 62.298387096774185 |
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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/pkvclqhs) |
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# whisper-medium-ach |
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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: 0.3501 |
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- Wer: 62.2984 |
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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: 4000 |
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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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| 1.081 | 0.05 | 200 | 0.4844 | 138.8609 | |
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| 0.592 | 1.0248 | 400 | 0.3859 | 154.4355 | |
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| 0.5445 | 1.0748 | 600 | 0.3434 | 146.1694 | |
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| 0.3446 | 2.0495 | 800 | 0.3272 | 163.9113 | |
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| 0.2614 | 3.0242 | 1000 | 0.3098 | 86.2903 | |
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| 0.2542 | 3.0743 | 1200 | 0.3414 | 91.4315 | |
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| 0.1972 | 4.049 | 1400 | 0.3289 | 89.3145 | |
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| 0.1172 | 5.0237 | 1600 | 0.3224 | 100.1008 | |
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| 0.1226 | 5.0738 | 1800 | 0.3377 | 72.3286 | |
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| 0.0721 | 6.0485 | 2000 | 0.3277 | 105.8972 | |
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| 0.0504 | 7.0232 | 2200 | 0.3483 | 80.1411 | |
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| 0.0503 | 7.0732 | 2400 | 0.3514 | 95.0101 | |
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| 0.0375 | 8.048 | 2600 | 0.3378 | 64.5665 | |
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| 0.0348 | 9.0228 | 2800 | 0.3492 | 122.5806 | |
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| 0.0338 | 9.0727 | 3000 | 0.3502 | 88.6089 | |
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| 0.0273 | 10.0475 | 3200 | 0.3554 | 88.2560 | |
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| 0.0194 | 11.0222 | 3400 | 0.3501 | 62.2984 | |
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| 0.0165 | 11.0723 | 3600 | 0.3478 | 73.3871 | |
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| 0.0117 | 12.047 | 3800 | 0.3618 | 74.2440 | |
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| 0.0125 | 13.0218 | 4000 | 0.3587 | 97.6815 | |
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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 2.19.1.dev0 |
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- Tokenizers 0.19.1 |
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