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--- |
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language: |
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- es |
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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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- hf-asr-leaderboard |
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- generated_from_trainer |
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datasets: |
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- ctam8736/papi_asr |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Small Papi/Es |
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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 Test |
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type: ctam8736/papi_asr |
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args: 'config: es, split: test' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 29.977162647125255 |
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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 Small Papi/Es |
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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 Test dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1243 |
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- Wer: 29.9772 |
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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: 1000 |
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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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| 0.0881 | 0.34 | 200 | 0.1414 | 23.3066 | |
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| 0.0563 | 0.69 | 400 | 0.1388 | 23.8738 | |
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| 0.0416 | 1.03 | 600 | 0.1367 | 26.2630 | |
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| 0.044 | 1.38 | 800 | 0.1295 | 29.1289 | |
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| 0.0546 | 1.72 | 1000 | 0.1243 | 29.9772 | |
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### Framework versions |
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- Transformers 4.37.0.dev0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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