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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 |
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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 |
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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: 0.1691 |
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- Cer: 4.5465 |
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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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| 0.7214 | 0.2581 | 100 | 0.2507 | 5.9680 | |
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| 0.3927 | 0.5161 | 200 | 0.1969 | 5.3924 | |
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| 0.357 | 0.7742 | 300 | 0.1870 | 5.2044 | |
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| 0.2509 | 1.0310 | 400 | 0.1762 | 4.8520 | |
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| 0.1611 | 1.2890 | 500 | 0.1752 | 4.6346 | |
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| 0.159 | 1.5471 | 600 | 0.1713 | 4.5172 | |
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| 0.1578 | 1.8052 | 700 | 0.1691 | 4.5465 | |
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### Framework versions |
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- Transformers 4.48.0.dev0 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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