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--- |
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language: |
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- hy |
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license: apache-2.0 |
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tags: |
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- automatic-speech-recognition |
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- mozilla-foundation/common_voice_8_0 |
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- generated_from_trainer |
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- robust-speech-event |
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- hy |
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- hf-asr-leaderboard |
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datasets: |
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- common_voice |
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model-index: |
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- name: wav2vec2-xls-r-300m-hy |
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results: |
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- task: |
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type: automatic-speech-recognition |
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name: Speech Recognition |
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dataset: |
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type: mozilla-foundation/common_voice_8_0 |
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name: Common Voice hy-AM |
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args: hy-AM |
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metrics: |
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- type: wer |
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value: 13.192818110850899 |
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name: WER LM |
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- type: cer |
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value: 2.787051087506323 |
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name: CER LM |
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- task: |
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name: Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: Robust Speech Event - Dev Data |
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type: speech-recognition-community-v2/dev_data |
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args: hy |
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metrics: |
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- name: Test WER |
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type: wer |
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value: 22.246048764990867 |
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- name: Test CER |
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type: cer |
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value: 7.59406739840239 |
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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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# |
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This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the /WORKSPACE/DATA/HY/NOIZY_STUDENT_3/ - NA dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2293 |
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- Wer: 0.3333 |
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- Cer: 0.0602 |
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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: 7e-05 |
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- train_batch_size: 64 |
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- eval_batch_size: 64 |
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- seed: 842 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 128 |
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- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.1 |
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- training_steps: 4000 |
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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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| 3.1471 | 7.02 | 400 | 3.1599 | 1.0 | 1.0 | |
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| 1.8691 | 14.04 | 800 | 0.7674 | 0.7361 | 0.1686 | |
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| 1.3227 | 21.05 | 1200 | 0.3849 | 0.5336 | 0.1007 | |
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| 1.163 | 28.07 | 1600 | 0.3015 | 0.4559 | 0.0823 | |
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| 1.0768 | 35.09 | 2000 | 0.2721 | 0.4032 | 0.0728 | |
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| 1.0224 | 42.11 | 2400 | 0.2586 | 0.3825 | 0.0691 | |
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| 0.9817 | 49.12 | 2800 | 0.2458 | 0.3653 | 0.0653 | |
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| 0.941 | 56.14 | 3200 | 0.2306 | 0.3388 | 0.0605 | |
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| 0.9235 | 63.16 | 3600 | 0.2315 | 0.3380 | 0.0615 | |
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| 0.9141 | 70.18 | 4000 | 0.2293 | 0.3333 | 0.0602 | |
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### Framework versions |
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- Transformers 4.17.0.dev0 |
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- Pytorch 1.10.2 |
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- Datasets 1.18.4.dev0 |
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- Tokenizers 0.11.0 |
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