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license: apache-2.0 |
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tags: |
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- hf-asr-leaderboard |
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- automatic-speech-recognition |
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- NbAiLab/NST |
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- generated_from_trainer |
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metrics: |
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- wer |
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model-index: |
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- name: whisper-NST-cons2e5 |
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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-NST-cons2e5 |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the NBAILAB/NST - NO-CLOSE dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3521 |
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- Wer: 11.8586 |
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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: 32 |
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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: constant_with_warmup |
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- lr_scheduler_warmup_steps: 500 |
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- training_steps: 10000 |
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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 | Wer | |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:| |
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| 0.2517 | 0.1 | 1000 | 0.4131 | 18.4721 | |
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| 0.1931 | 0.2 | 2000 | 0.3531 | 19.0422 | |
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| 0.1598 | 0.3 | 3000 | 0.3605 | 16.8757 | |
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| 0.1541 | 0.4 | 4000 | 0.3367 | 14.4812 | |
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| 0.1443 | 0.5 | 5000 | 0.3274 | 13.3409 | |
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| 0.1301 | 0.6 | 6000 | 0.3481 | 10.7184 | |
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| 0.1266 | 0.7 | 7000 | 0.3452 | 12.9989 | |
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| 0.1216 | 0.8 | 8000 | 0.3215 | 10.8324 | |
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| 0.1121 | 0.9 | 9000 | 0.3160 | 11.5165 | |
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| 0.1171 | 1.0 | 10000 | 0.3521 | 11.8586 | |
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### Framework versions |
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- Transformers 4.25.0.dev0 |
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- Pytorch 1.13.0+cu117 |
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- Datasets 2.6.1 |
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- Tokenizers 0.13.1 |
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