83 lines
2.5 KiB
Markdown
83 lines
2.5 KiB
Markdown
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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-E50_pause_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-E50_pause_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: 0.1714
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- Cer: 8.0886
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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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| 0.3029 | 0.1289 | 100 | 0.2462 | 6.1971 |
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| 0.161 | 0.2579 | 200 | 0.2166 | 5.6861 |
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| 0.1967 | 0.3868 | 300 | 0.2087 | 5.7625 |
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| 0.1561 | 0.5158 | 400 | 0.2014 | 5.3513 |
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| 0.1372 | 0.6447 | 500 | 0.1973 | 5.5686 |
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| 0.1191 | 0.7737 | 600 | 0.1859 | 5.2455 |
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| 0.1175 | 0.9026 | 700 | 0.1801 | 5.3865 |
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| 0.0697 | 1.0309 | 800 | 0.1754 | 5.1281 |
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| 0.0558 | 1.1599 | 900 | 0.1793 | 4.8578 |
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| 0.0571 | 1.2888 | 1000 | 0.1746 | 4.8931 |
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| 0.0542 | 1.4178 | 1100 | 0.1765 | 5.7096 |
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| 0.0514 | 1.5467 | 1200 | 0.1744 | 7.9300 |
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| 0.0527 | 1.6757 | 1300 | 0.1751 | 9.3867 |
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| 0.0469 | 1.8046 | 1400 | 0.1712 | 12.9171 |
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| 0.0478 | 1.9336 | 1500 | 0.1714 | 8.0886 |
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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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