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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-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-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 old50 adult freq speed pause changed dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2665 |
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- Cer: 6.9314 |
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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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| 0.2702 | 0.1289 | 100 | 0.2968 | 8.0592 | |
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| 0.145 | 0.2579 | 200 | 0.2709 | 7.3661 | |
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| 0.1116 | 0.3868 | 300 | 0.2877 | 7.8242 | |
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| 0.1197 | 0.5158 | 400 | 0.2675 | 7.1781 | |
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| 0.0991 | 0.6447 | 500 | 0.2769 | 7.5540 | |
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| 0.0936 | 0.7737 | 600 | 0.2747 | 7.3543 | |
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| 0.0992 | 0.9026 | 700 | 0.2670 | 7.0841 | |
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| 0.0401 | 1.0309 | 800 | 0.2636 | 8.5468 | |
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| 0.0292 | 1.1599 | 900 | 0.2653 | 6.8080 | |
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| 0.0392 | 1.2888 | 1000 | 0.2651 | 7.0312 | |
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| 0.0324 | 1.4178 | 1100 | 0.2712 | 7.0430 | |
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| 0.0388 | 1.5467 | 1200 | 0.2690 | 7.0254 | |
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| 0.0313 | 1.6757 | 1300 | 0.2674 | 7.0195 | |
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| 0.0321 | 1.8046 | 1400 | 0.2647 | 7.0019 | |
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| 0.0322 | 1.9336 | 1500 | 0.2665 | 6.9314 | |
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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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