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--- |
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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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model-index: |
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- name: Whisper Small ko-elder70 - syp1229 |
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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 ko-elder70 - syp1229 |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the aihub elder over 70 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1961 |
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- Cer: 4.5511 |
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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: 2e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 50 |
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- num_epochs: 5 |
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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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| 0.2246 | 0.3 | 100 | 0.2532 | 6.3965 | |
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| 0.213 | 0.59 | 200 | 0.2291 | 6.2897 | |
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| 0.1986 | 0.89 | 300 | 0.2037 | 5.5361 | |
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| 0.0683 | 1.18 | 400 | 0.1912 | 4.7410 | |
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| 0.0691 | 1.48 | 500 | 0.1967 | 5.0139 | |
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| 0.0782 | 1.78 | 600 | 0.1999 | 5.0555 | |
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| 0.0219 | 2.07 | 700 | 0.1907 | 4.9843 | |
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| 0.0193 | 2.37 | 800 | 0.1918 | 4.5986 | |
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| 0.0283 | 2.66 | 900 | 0.1966 | 4.8003 | |
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| 0.0163 | 2.96 | 1000 | 0.1904 | 4.4740 | |
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| 0.0083 | 3.25 | 1100 | 0.1958 | 4.3909 | |
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| 0.0039 | 3.55 | 1200 | 0.1983 | 4.4562 | |
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| 0.0043 | 3.85 | 1300 | 0.1944 | 4.4858 | |
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| 0.0029 | 4.14 | 1400 | 0.1941 | 4.4384 | |
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| 0.0027 | 4.44 | 1500 | 0.1981 | 4.5571 | |
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| 0.003 | 4.73 | 1600 | 0.1961 | 4.5511 | |
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### Framework versions |
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- Transformers 4.34.0.dev0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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