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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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- model_for_talk |
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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-v1 |
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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: 0.4709579127785184 |
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- name: Test CER |
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type: cer |
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value: 0.10205125354383235 |
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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: 0.7053128872366791 |
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- name: Test CER |
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type: cer |
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value: 0.210804311998487 |
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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: 72.6 |
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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 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: 0.5197 |
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- Wer: 0.4689 |
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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-v1 --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-v1 --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: 7e-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: 2000 |
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- num_epochs: 50.0 |
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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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| 4.3711 | 2.61 | 300 | 4.3122 | 1.0 | |
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| 3.1653 | 5.22 | 600 | 3.1156 | 1.0 | |
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| 2.8904 | 7.83 | 900 | 2.8421 | 0.9918 | |
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| 0.9207 | 10.43 | 1200 | 0.9895 | 0.8689 | |
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| 0.6384 | 13.04 | 1500 | 0.6994 | 0.7700 | |
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| 0.5215 | 15.65 | 1800 | 0.5628 | 0.6443 | |
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| 0.4573 | 18.26 | 2100 | 0.5316 | 0.6174 | |
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| 0.3875 | 20.87 | 2400 | 0.4932 | 0.5779 | |
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| 0.3562 | 23.48 | 2700 | 0.4972 | 0.5475 | |
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| 0.3218 | 26.09 | 3000 | 0.4895 | 0.5219 | |
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| 0.2954 | 28.7 | 3300 | 0.5226 | 0.5192 | |
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| 0.287 | 31.3 | 3600 | 0.4957 | 0.5146 | |
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| 0.2587 | 33.91 | 3900 | 0.4944 | 0.4893 | |
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| 0.2496 | 36.52 | 4200 | 0.4976 | 0.4895 | |
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| 0.2365 | 39.13 | 4500 | 0.5185 | 0.4819 | |
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| 0.2264 | 41.74 | 4800 | 0.5152 | 0.4776 | |
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| 0.2224 | 44.35 | 5100 | 0.5031 | 0.4746 | |
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| 0.2096 | 46.96 | 5400 | 0.5062 | 0.4708 | |
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| 0.2038 | 49.57 | 5700 | 0.5217 | 0.4698 | |
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### Framework versions |
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- Transformers 4.17.0.dev0 |
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- Pytorch 1.10.2+cu102 |
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- Datasets 1.18.2.dev0 |
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- Tokenizers 0.11.0 |
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