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--- |
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language: mn |
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license: apache-2.0 |
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tags: |
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- whisper-event |
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- hf-asr-leaderboard |
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- generated_from_multiple_datasets |
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datasets: |
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- mozilla-foundation/common_voice_11_0 |
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- google/fleurs |
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- bayartsogt/ulaanbal-v0 |
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- bayartsogt/youtube-mongolian-v1 |
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metrics: |
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- wer |
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- cer |
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model-index: |
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- name: whisper-tiny-mn-9 |
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results: |
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- task: |
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type: automatic-speech-recognition |
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name: Automatic Speech Recognition |
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dataset: |
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name: Common Voice 11.0 |
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type: mozilla-foundation/common_voice_11_0 |
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config: mn |
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split: test |
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metrics: |
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- type: wer |
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value: 45.51015949311776 |
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name: Wer |
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- type: cer |
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value: 17.33769077861258 |
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name: Cer |
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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-tiny-mn-9 |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3885 |
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- Wer: 45.5102 |
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- Cer: 17.3377 |
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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: 64 |
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- eval_batch_size: 64 |
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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: 500 |
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- training_steps: 20000 |
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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 | Cer | |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:| |
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| 0.587 | 0.69 | 1000 | 0.6937 | 75.6336 | 29.6764 | |
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| 0.4536 | 1.39 | 2000 | 0.5539 | 64.8187 | 24.8324 | |
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| 0.3798 | 2.08 | 3000 | 0.4963 | 57.7944 | 22.1842 | |
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| 0.3423 | 2.77 | 4000 | 0.4661 | 54.3751 | 20.9705 | |
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| 0.3122 | 3.47 | 5000 | 0.4449 | 52.5945 | 20.3405 | |
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| 0.3002 | 4.16 | 6000 | 0.4285 | 50.5080 | 19.3499 | |
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| 0.2842 | 4.85 | 7000 | 0.4171 | 49.3937 | 19.0282 | |
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| 0.2655 | 5.54 | 8000 | 0.4099 | 48.6727 | 18.6045 | |
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| 0.2555 | 6.24 | 9000 | 0.4035 | 48.2084 | 18.3392 | |
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| 0.2525 | 6.93 | 10000 | 0.3990 | 47.3290 | 17.8338 | |
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| 0.243 | 7.62 | 11000 | 0.3963 | 47.0559 | 18.2524 | |
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| 0.2358 | 8.32 | 12000 | 0.3948 | 46.7337 | 17.8186 | |
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| 0.2288 | 9.01 | 13000 | 0.3901 | 46.5480 | 17.9172 | |
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| 0.2171 | 9.7 | 14000 | 0.3910 | 46.0236 | 17.6266 | |
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| 0.2184 | 10.4 | 15000 | 0.3904 | 46.4387 | 17.8228 | |
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| 0.2099 | 11.09 | 16000 | 0.3893 | 45.9744 | 17.4379 | |
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| 0.216 | 11.78 | 17000 | 0.3889 | 45.6194 | 17.2939 | |
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| 0.2095 | 12.47 | 18000 | 0.3895 | 45.7887 | 17.4438 | |
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| 0.2056 | 13.17 | 19000 | 0.3882 | 45.6085 | 17.2888 | |
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| 0.2064 | 13.86 | 20000 | 0.3885 | 45.5102 | 17.3377 | |
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### Framework versions |
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- Transformers 4.26.0.dev0 |
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- Pytorch 1.13.0+cu117 |
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- Datasets 2.7.1.dev0 |
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- Tokenizers 0.13.2 |
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