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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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metrics: |
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- wer |
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- cer |
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model-index: |
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- name: whisper-small-mn-11 |
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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: 51.96635350666375 |
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name: Wer |
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- type: cer |
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value: 19.87703213138759 |
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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-small-mn-11 |
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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: 1.0138 |
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- Wer: 51.9664 |
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- Cer: 19.8770 |
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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 results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | Cer | |
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|:-------------:|:------:|:-----:|:---------------:|:-------:|:-------:| |
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| 0.0025 | 32.26 | 1000 | 0.8913 | 53.6214 | 20.6866 | |
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| 0.0007 | 64.52 | 2000 | 0.9326 | 52.1685 | 19.5991 | |
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| 0.0001 | 96.77 | 3000 | 1.0138 | 51.9664 | 19.8770 | |
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| 0.0001 | 129.03 | 4000 | 1.0639 | 52.1248 | 19.9178 | |
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| 0.0 | 161.29 | 5000 | 1.1236 | 52.0428 | 19.9652 | |
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| 0.0 | 193.55 | 6000 | 1.1677 | 52.4634 | 20.0351 | |
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| 0.0 | 225.81 | 7000 | 1.2224 | 52.5836 | 20.1258 | |
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| 0.0 | 258.06 | 8000 | 1.2633 | 52.7310 | 20.2073 | |
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| 0.0 | 290.32 | 9000 | 1.3152 | 52.8184 | 20.2273 | |
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| 0.0 | 322.58 | 10000 | 1.3530 | 52.9495 | 20.3080 | |
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| 0.0 | 354.84 | 11000 | 1.3995 | 53.0260 | 20.3088 | |
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| 0.0 | 387.1 | 12000 | 1.4306 | 52.9878 | 20.2057 | |
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| 0.0 | 419.35 | 13000 | 1.4674 | 52.9714 | 20.3113 | |
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| 0.0 | 451.61 | 14000 | 1.4859 | 52.9386 | 20.2947 | |
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| 0.0 | 483.87 | 15000 | 1.4994 | 52.9768 | 20.3280 | |
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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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