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--- |
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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_trainer |
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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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metrics: |
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- wer |
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model-index: |
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- name: whisper-small-mn-7-bayartsogt |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: 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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args: |
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language: mn |
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metrics: |
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- name: Wer |
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type: wer |
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value: 32.64693030369237 |
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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-mn-7 |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3061 |
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- Wer: 32.6469 |
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- Cer: 11.2319 |
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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: 32 |
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- eval_batch_size: 32 |
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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: 15000 |
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- mixed_precision_training: Native AMP |
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### Training script |
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```bash |
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python train.py \ |
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--train_datasets "mozilla-foundation/common_voice_11_0|mn|train+validation,google/fleurs|mn_mn|train+validation,bayartsogt/ulaanbal-v0||train" \ |
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--eval_datasets "mozilla-foundation/common_voice_11_0|mn|test" \ |
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--whisper-size "small" \ |
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--language "mn,Mongolian" \ |
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--keep-chars " абвгдеёжзийклмноөпрстуүфхцчшъыьэюя.,?!" \ |
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--train-batch-size 32 \ |
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--eval-batch-size 32 \ |
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--max-steps 15000 \ |
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--num-workers 8 \ |
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--version 7 \ |
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``` |
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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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| 0.3416 | 0.61 | 1000 | 0.4335 | 51.0979 | 17.8608 | |
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| 0.2266 | 1.22 | 2000 | 0.3383 | 39.5346 | 13.6468 | |
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| 0.2134 | 1.83 | 3000 | 0.2994 | 35.6565 | 12.1677 | |
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| 0.165 | 2.43 | 4000 | 0.2927 | 34.1927 | 11.4602 | |
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| 0.1205 | 3.04 | 5000 | 0.2879 | 33.5209 | 11.3002 | |
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| 0.1284 | 3.65 | 6000 | 0.2884 | 32.7507 | 10.9885 | |
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| 0.0893 | 4.26 | 7000 | 0.3022 | 33.0894 | 11.2075 | |
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| 0.0902 | 4.87 | 8000 | 0.3061 | 32.6469 | 11.2319 | |
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| 0.065 | 5.48 | 9000 | 0.3233 | 32.8163 | 11.1595 | |
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| 0.0436 | 6.09 | 10000 | 0.3372 | 32.6852 | 11.1384 | |
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| 0.0469 | 6.7 | 11000 | 0.3481 | 32.8272 | 11.2867 | |
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| 0.0292 | 7.3 | 12000 | 0.3643 | 33.0784 | 11.3785 | |
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| 0.0277 | 7.91 | 13000 | 0.3700 | 33.1877 | 11.3600 | |
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| 0.0196 | 8.52 | 14000 | 0.3806 | 33.3734 | 11.4273 | |
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| 0.016 | 9.13 | 15000 | 0.3844 | 33.3188 | 11.4248 | |
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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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