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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-E10_Yfreq_speed |
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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-E10_Yfreq_speed |
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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: 0.2283 |
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- Cer: 6.1736 |
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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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| 0.2612 | 0.1289 | 100 | 0.2864 | 7.4836 | |
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| 0.1602 | 0.2579 | 200 | 0.2540 | 6.8492 | |
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| 0.126 | 0.3868 | 300 | 0.2559 | 6.9960 | |
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| 0.1277 | 0.5158 | 400 | 0.2460 | 7.0019 | |
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| 0.1111 | 0.6447 | 500 | 0.2426 | 6.7434 | |
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| 0.1045 | 0.7737 | 600 | 0.2386 | 6.4262 | |
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| 0.1021 | 0.9026 | 700 | 0.2377 | 6.3029 | |
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| 0.0431 | 1.0309 | 800 | 0.2263 | 6.1090 | |
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| 0.0314 | 1.1599 | 900 | 0.2312 | 6.1443 | |
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| 0.0389 | 1.2888 | 1000 | 0.2326 | 6.3029 | |
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| 0.0366 | 1.4178 | 1100 | 0.2314 | 6.0503 | |
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| 0.0403 | 1.5467 | 1200 | 0.2315 | 6.1031 | |
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| 0.0374 | 1.6757 | 1300 | 0.2286 | 5.9915 | |
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| 0.0339 | 1.8046 | 1400 | 0.2278 | 6.0503 | |
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| 0.0385 | 1.9336 | 1500 | 0.2283 | 6.1736 | |
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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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