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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: 37.049667235025574 |
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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: 0.3245 |
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- Wer: 37.0497 |
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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: 8 |
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- eval_batch_size: 4 |
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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: 40 |
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- num_epochs: 2 |
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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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| 0.4691 | 0.3 | 100 | 0.5472 | 57.2191 | |
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| 0.3191 | 0.6 | 200 | 0.4417 | 49.0237 | |
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| 0.2677 | 0.9 | 300 | 0.3791 | 43.3530 | |
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| 0.1486 | 1.2 | 400 | 0.3560 | 40.1188 | |
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| 0.1387 | 1.5 | 500 | 0.3430 | 37.8912 | |
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| 0.1396 | 1.8 | 600 | 0.3245 | 37.0497 | |
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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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