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--- |
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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: whisper-tiny-atco2-asr |
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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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# whisper-tiny-atco2-asr |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0505 |
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- Wer: 112.9893 |
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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: 128 |
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- eval_batch_size: 128 |
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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: 10 |
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- num_epochs: 100 |
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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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| 1.8611 | 12.5 | 50 | 1.5491 | 100.1779 | |
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| 0.5484 | 25.0 | 100 | 1.1962 | 91.5036 | |
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| 0.1272 | 37.5 | 150 | 1.0106 | 158.7189 | |
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| 0.0125 | 50.0 | 200 | 1.0290 | 124.3327 | |
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| 0.0074 | 62.5 | 250 | 1.0401 | 116.7705 | |
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| 0.005 | 75.0 | 300 | 1.0461 | 118.6833 | |
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| 0.0044 | 87.5 | 350 | 1.0493 | 113.0783 | |
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| 0.004 | 100.0 | 400 | 1.0505 | 112.9893 | |
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### Framework versions |
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- Transformers 4.36.2 |
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- Pytorch 2.1.2 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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