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--- |
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language: |
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- bg |
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license: apache-2.0 |
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tags: |
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- automatic-speech-recognition |
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- bg |
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- generated_from_trainer |
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- hf-asr-leaderboard |
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- mozilla-foundation/common_voice_8_0 |
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- robust-speech-event |
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datasets: |
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- mozilla-foundation/common_voice_8_0 |
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model-index: |
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- name: wav2vec2-large-xls-r-300m-bg-d2 |
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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 8 |
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type: mozilla-foundation/common_voice_8_0 |
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args: bg |
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metrics: |
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- name: Test WER |
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type: wer |
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value: 0.28775471338792613 |
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- name: Test CER |
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type: cer |
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value: 0.06861971204625049 |
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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: Robust Speech Event - Dev Data |
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type: speech-recognition-community-v2/dev_data |
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args: bg |
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metrics: |
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- name: Test WER |
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type: wer |
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value: 0.49783147459727384 |
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- name: Test CER |
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type: cer |
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value: 0.1591062599627158 |
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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: Robust Speech Event - Test Data |
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type: speech-recognition-community-v2/eval_data |
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args: bg |
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metrics: |
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- name: Test WER |
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type: wer |
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value: 51.25 |
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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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# wav2vec2-large-xls-r-300m-bg-d2 |
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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 MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - BG dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3421 |
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- Wer: 0.2860 |
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### Evaluation Commands |
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1. To evaluate on mozilla-foundation/common_voice_8_0 with test split |
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python eval.py --model_id DrishtiSharma/wav2vec2-large-xls-r-300m-bg-d2 --dataset mozilla-foundation/common_voice_8_0 --config bg --split test --log_outputs |
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2. To evaluate on speech-recognition-community-v2/dev_data |
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python eval.py --model_id DrishtiSharma/wav2vec2-large-xls-r-300m-bg-d2 --dataset speech-recognition-community-v2/dev_data --config bg --split validation --chunk_length_s 10 --stride_length_s 1 |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.00025 |
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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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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 32 |
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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: 700 |
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- num_epochs: 35 |
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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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| 6.8791 | 1.74 | 200 | 3.1902 | 1.0 | |
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| 3.0441 | 3.48 | 400 | 2.8098 | 0.9864 | |
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| 1.1499 | 5.22 | 600 | 0.4668 | 0.5014 | |
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| 0.4968 | 6.96 | 800 | 0.4162 | 0.4472 | |
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| 0.3553 | 8.7 | 1000 | 0.3580 | 0.3777 | |
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| 0.3027 | 10.43 | 1200 | 0.3422 | 0.3506 | |
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| 0.2562 | 12.17 | 1400 | 0.3556 | 0.3639 | |
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| 0.2272 | 13.91 | 1600 | 0.3621 | 0.3583 | |
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| 0.2125 | 15.65 | 1800 | 0.3436 | 0.3358 | |
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| 0.1904 | 17.39 | 2000 | 0.3650 | 0.3545 | |
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| 0.1695 | 19.13 | 2200 | 0.3366 | 0.3241 | |
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| 0.1532 | 20.87 | 2400 | 0.3550 | 0.3311 | |
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| 0.1453 | 22.61 | 2600 | 0.3582 | 0.3131 | |
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| 0.1359 | 24.35 | 2800 | 0.3524 | 0.3084 | |
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| 0.1233 | 26.09 | 3000 | 0.3503 | 0.2973 | |
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| 0.1114 | 27.83 | 3200 | 0.3434 | 0.2946 | |
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| 0.1051 | 29.57 | 3400 | 0.3474 | 0.2956 | |
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| 0.0965 | 31.3 | 3600 | 0.3426 | 0.2907 | |
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| 0.0923 | 33.04 | 3800 | 0.3478 | 0.2894 | |
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| 0.0894 | 34.78 | 4000 | 0.3421 | 0.2860 | |
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### Framework versions |
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- Transformers 4.16.2 |
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- Pytorch 1.10.0+cu111 |
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- Datasets 1.18.3 |
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- Tokenizers 0.11.0 |
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