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--- |
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language: |
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- pa-IN |
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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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- pa-IN |
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- robust-speech-event |
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- hf-asr-leaderboard |
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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-pa-IN-dx1 |
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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: pa-IN |
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metrics: |
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- name: Test WER |
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type: wer |
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value: 0.48725989807918463 |
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- name: Test CER |
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type: cer |
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value: 0.1687305197540224 |
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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: pa-IN |
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metrics: |
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- name: Test WER |
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type: wer |
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value: NA |
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- name: Test CER |
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type: cer |
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value: NA |
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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 - PA-IN dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0855 |
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- Wer: 0.4755 |
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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-pa-IN-dx1 --dataset mozilla-foundation/common_voice_8_0 --config pa-IN --split test --log_outputs |
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2. To evaluate on speech-recognition-community-v2/dev_data |
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Punjabi language isn't available in speech-recognition-community-v2/dev_data |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0003 |
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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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- 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: 1200 |
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- num_epochs: 100.0 |
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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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| 3.4607 | 9.26 | 500 | 2.7746 | 1.0416 | |
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| 0.3442 | 18.52 | 1000 | 0.9114 | 0.5911 | |
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| 0.2213 | 27.78 | 1500 | 0.9687 | 0.5751 | |
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| 0.1242 | 37.04 | 2000 | 1.0204 | 0.5461 | |
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| 0.0998 | 46.3 | 2500 | 1.0250 | 0.5233 | |
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| 0.0727 | 55.56 | 3000 | 1.1072 | 0.5382 | |
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| 0.0605 | 64.81 | 3500 | 1.0588 | 0.5073 | |
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| 0.0458 | 74.07 | 4000 | 1.0818 | 0.5069 | |
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| 0.0338 | 83.33 | 4500 | 1.0948 | 0.5108 | |
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| 0.0223 | 92.59 | 5000 | 1.0986 | 0.4775 | |
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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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