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--- |
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license: apache-2.0 |
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tags: |
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- whisper-event |
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- generated_from_trainer |
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- automatic-speech-recognition |
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- hf-asr-leaderboard |
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- pashto |
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- ps |
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datasets: |
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- google/fleurs |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Small Pashto |
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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: google/fleurs ps_af |
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type: google/fleurs |
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args: 'config: ps_af, split: test' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 56.651029055690074 |
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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 Pashto |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the google/fleurs ps_af dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.2273 |
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- Wer: 56.6510 |
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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: 3e-07 |
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- train_batch_size: 64 |
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- eval_batch_size: 32 |
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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: 800 |
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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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| 2.1183 | 3.7 | 100 | 1.3170 | 76.9522 | |
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| 0.8565 | 7.41 | 200 | 0.9367 | 61.9930 | |
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| 0.2246 | 11.11 | 300 | 0.9642 | 58.8302 | |
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| 0.054 | 14.81 | 400 | 1.0876 | 57.9903 | |
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| 0.0159 | 18.52 | 500 | 1.1798 | 57.8768 | |
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| 0.0045 | 22.22 | 600 | 1.2309 | 56.6510 | |
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| 0.0026 | 100.0 | 700 | 1.2581 | 56.8478 | |
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| 0.0023 | 114.29 | 800 | 1.2710 | 56.7570 | |
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### Framework versions |
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- Transformers 4.26.0.dev0 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 2.7.1.dev0 |
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- Tokenizers 0.13.2 |
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