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--- |
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library_name: transformers |
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language: |
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- hi |
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license: apache-2.0 |
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base_model: openai/whisper-small |
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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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- aihub_adult_baseline |
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model-index: |
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- name: whisper-small-E30_Yspeed |
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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-small-E30_Yspeed |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the aihub old adult freq speed pause changed dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1835 |
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- Cer: 4.8520 |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 50 |
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- num_epochs: 2 |
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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 | Cer | |
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|:-------------:|:------:|:----:|:---------------:|:------:| |
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| 0.2793 | 0.1289 | 100 | 0.2591 | 6.6318 | |
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| 0.1561 | 0.2579 | 200 | 0.2254 | 6.1560 | |
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| 0.1532 | 0.3868 | 300 | 0.2258 | 6.3205 | |
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| 0.1394 | 0.5158 | 400 | 0.2110 | 5.7096 | |
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| 0.1102 | 0.6447 | 500 | 0.2068 | 5.6391 | |
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| 0.1085 | 0.7737 | 600 | 0.2006 | 5.4159 | |
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| 0.108 | 0.9026 | 700 | 0.1983 | 5.5392 | |
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| 0.0547 | 1.0309 | 800 | 0.1861 | 5.1046 | |
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| 0.0462 | 1.1599 | 900 | 0.1899 | 4.9225 | |
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| 0.045 | 1.2888 | 1000 | 0.1920 | 5.0399 | |
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| 0.0407 | 1.4178 | 1100 | 0.1881 | 4.8167 | |
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| 0.0391 | 1.5467 | 1200 | 0.1845 | 4.7227 | |
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| 0.0403 | 1.6757 | 1300 | 0.1855 | 5.1222 | |
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| 0.0378 | 1.8046 | 1400 | 0.1846 | 4.8461 | |
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| 0.041 | 1.9336 | 1500 | 0.1835 | 4.8520 | |
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### Framework versions |
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- Transformers 4.47.0.dev0 |
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- Pytorch 2.5.0+cu121 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
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