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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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metrics: |
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- wer |
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model-index: |
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- name: whisper-small-mn-2-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: 40.87830456630981 |
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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-2 |
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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: 0.7259 |
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- Wer: 40.8783 |
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- Cer: 13.9617 |
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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: 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: 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 results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | Cer | |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:| |
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| 0.0839 | 4.26 | 1000 | 0.4647 | 45.7286 | 16.0020 | |
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| 0.0093 | 8.51 | 2000 | 0.5434 | 43.9753 | 15.2446 | |
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| 0.0044 | 12.77 | 3000 | 0.6009 | 43.6257 | 15.1717 | |
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| 0.0029 | 17.02 | 4000 | 0.6166 | 43.0031 | 14.7578 | |
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| 0.002 | 21.28 | 5000 | 0.6390 | 42.6098 | 14.7286 | |
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| 0.001 | 25.53 | 6000 | 0.6558 | 41.7468 | 14.3516 | |
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| 0.0021 | 29.79 | 7000 | 0.6714 | 42.3039 | 14.4589 | |
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| 0.0003 | 34.04 | 8000 | 0.6791 | 41.0586 | 13.9506 | |
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| 0.0001 | 38.3 | 9000 | 0.6949 | 41.3808 | 14.1670 | |
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| 0.0013 | 42.55 | 10000 | 0.6875 | 41.4682 | 14.2983 | |
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| 0.0001 | 46.81 | 11000 | 0.6937 | 40.9165 | 13.9549 | |
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| 0.0001 | 51.06 | 12000 | 0.7092 | 40.9275 | 13.9549 | |
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| 0.0 | 55.32 | 13000 | 0.7190 | 40.9657 | 13.9703 | |
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| 0.0 | 59.57 | 14000 | 0.7259 | 40.8783 | 13.9617 | |
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| 0.0 | 63.83 | 15000 | 0.7292 | 40.8838 | 13.9274 | |
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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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