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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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- ASR |
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- Papiamentu |
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- Whisper |
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- Speech Recognition |
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- generated_from_trainer |
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datasets: |
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- sonnygeorge/papi_asr_corpus |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Tiny Papiamentu |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: Papi ASR |
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type: sonnygeorge/papi_asr_corpus |
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metrics: |
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- name: Wer |
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type: wer |
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value: 85.22752415369865 |
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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 Papiamentu |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Papi ASR dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.0809 |
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- Wer: 85.2275 |
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- Cer: 34.1432 |
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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: 100 |
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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 | Cer | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------:| |
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| No log | 0.01 | 5 | 4.6530 | 101.2317 | 53.1862 | |
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| No log | 0.01 | 10 | 4.6414 | 102.1683 | 53.8408 | |
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| No log | 0.02 | 15 | 4.6073 | 102.0577 | 53.5251 | |
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| No log | 0.03 | 20 | 4.5651 | 101.3275 | 52.8798 | |
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| 4.5851 | 0.04 | 25 | 4.3546 | 100.9956 | 52.4930 | |
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| 4.5851 | 0.04 | 30 | 4.2726 | 98.9158 | 50.6731 | |
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| 4.5851 | 0.05 | 35 | 4.1573 | 98.3922 | 50.3358 | |
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| 4.5851 | 0.06 | 40 | 3.9879 | 96.8360 | 48.6228 | |
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| 4.5851 | 0.07 | 45 | 3.8552 | 96.4747 | 47.4498 | |
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| 4.1061 | 0.07 | 50 | 3.6580 | 94.7710 | 47.1001 | |
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| 4.1061 | 0.08 | 55 | 3.4486 | 93.1780 | 45.8250 | |
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| 4.1061 | 0.09 | 60 | 3.2790 | 94.1441 | 46.0849 | |
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| 4.1061 | 0.1 | 65 | 3.1437 | 93.4730 | 45.1332 | |
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| 4.1061 | 0.1 | 70 | 3.0021 | 91.7029 | 42.6202 | |
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| 3.2929 | 0.11 | 75 | 2.8536 | 92.1086 | 41.3095 | |
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| 3.2929 | 0.12 | 80 | 2.7078 | 90.1468 | 38.6819 | |
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| 3.2929 | 0.13 | 85 | 2.5575 | 88.8045 | 37.2195 | |
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| 3.2929 | 0.13 | 90 | 2.4029 | 88.6865 | 36.6887 | |
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| 3.2929 | 0.14 | 95 | 2.2431 | 89.0257 | 35.9986 | |
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| 2.4377 | 0.15 | 100 | 2.0809 | 85.2275 | 34.1432 | |
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### Framework versions |
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- Transformers 4.37.0.dev0 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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