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--- |
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language: |
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- mn |
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license: apache-2.0 |
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base_model: openai/whisper-large-v3 |
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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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- mozilla-foundation/common_voice_16_1 |
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- google/fleurs |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Large MN - Ankhbayasgalan Davaadorj |
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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 16.1 & FLEURS |
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type: mozilla-foundation/common_voice_16_1 |
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config: mn |
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split: None |
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args: 'config: mn, split: test+validation' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 31.994939772289754 |
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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 Large MN - Ankhbayasgalan Davaadorj |
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This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the Common Voice 16.1 & FLEURS dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5662 |
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- Wer: 31.9949 |
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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: 0.0001 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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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: 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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| 0.0691 | 5.99 | 1000 | 0.4597 | 41.5049 | |
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| 0.0183 | 11.98 | 2000 | 0.4996 | 38.2982 | |
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| 0.012 | 17.96 | 3000 | 0.5328 | 38.5402 | |
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| 0.0091 | 23.95 | 4000 | 0.5619 | 38.1277 | |
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| 0.004 | 29.94 | 5000 | 0.5439 | 35.2236 | |
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| 0.0019 | 35.93 | 6000 | 0.5731 | 35.3941 | |
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| 0.001 | 41.92 | 7000 | 0.5309 | 33.3755 | |
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| 0.0002 | 47.9 | 8000 | 0.5391 | 32.3140 | |
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| 0.0 | 53.89 | 9000 | 0.5543 | 32.1984 | |
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| 0.0 | 59.88 | 10000 | 0.5662 | 31.9949 | |
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### Framework versions |
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- Transformers 4.38.0.dev0 |
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- Pytorch 2.2.0+cu121 |
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- Datasets 2.17.0 |
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- Tokenizers 0.15.2 |
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