| --- |
| language: |
| - sl |
| license: apache-2.0 |
| tags: |
| - automatic-speech-recognition |
| - generated_from_trainer |
| - hf-asr-leaderboard |
| - model_for_talk |
| - mozilla-foundation/common_voice_8_0 |
| - robust-speech-event |
| - sl |
| datasets: |
| - mozilla-foundation/common_voice_8_0 |
| model-index: |
| - name: wav2vec2-large-xls-r-300m-sl-with-LM-v1 |
| results: |
| - task: |
| name: Automatic Speech Recognition |
| type: automatic-speech-recognition |
| dataset: |
| name: Common Voice 8 |
| type: mozilla-foundation/common_voice_8_0 |
| args: sl |
| metrics: |
| - name: Test WER |
| type: wer |
| value: 0.20626555409164105 |
| - name: Test CER |
| type: cer |
| value: 0.051648321634392154 |
| - name: Test WER (+LM) |
| type: wer |
| value: 0.13482652613087395 |
| - name: Test CER (+LM) |
| type: cer |
| value: 0.038838663862562475 |
| - task: |
| name: Automatic Speech Recognition |
| type: automatic-speech-recognition |
| dataset: |
| name: Robust Speech Event - Dev Data |
| type: speech-recognition-community-v2/dev_data |
| args: sl |
| metrics: |
| - name: Dev WER |
| type: wer |
| value: 0.5406156320830592 |
| - name: Dev CER |
| type: cer |
| value: 0.22249723590310583 |
| - name: Dev WER (+LM) |
| type: wer |
| value: 0.49783147459727384 |
| - name: Dev CER (+LM) |
| type: cer |
| value: 0.1591062599627158 |
| - task: |
| name: Automatic Speech Recognition |
| type: automatic-speech-recognition |
| dataset: |
| name: Robust Speech Event - Test Data |
| type: speech-recognition-community-v2/eval_data |
| args: sl |
| metrics: |
| - name: Test WER |
| type: wer |
| value: 46.17 |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # |
|
|
| 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 - SL dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.2756 |
| - Wer: 0.2279 |
| |
| ### Evaluation Commands |
| |
| 1. To evaluate on mozilla-foundation/common_voice_8_0 with test split |
|
|
| python eval.py --model_id DrishtiSharma/wav2vec2-large-xls-r-300m-sl-with-LM-v1 --dataset mozilla-foundation/common_voice_8_0 --config sl --split test --log_outputs |
| |
| 2. To evaluate on speech-recognition-community-v2/dev_data |
|
|
| python eval.py --model_id DrishtiSharma/wav2vec2-large-xls-r-300m-sl-with-LM-v1 --dataset speech-recognition-community-v2/dev_data --config sl --split validation --chunk_length_s 10 --stride_length_s 1 |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 7.1e-05 |
| - train_batch_size: 32 |
| - eval_batch_size: 32 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 1000 |
| - num_epochs: 100.0 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:-----:|:----:|:---------------:|:------:| |
| | 3.3881 | 6.1 | 500 | 2.9710 | 1.0 | |
| | 2.6401 | 12.2 | 1000 | 1.7677 | 0.9734 | |
| | 1.5152 | 18.29 | 1500 | 0.5564 | 0.6011 | |
| | 1.2191 | 24.39 | 2000 | 0.4319 | 0.4390 | |
| | 1.0237 | 30.49 | 2500 | 0.3141 | 0.3175 | |
| | 0.8892 | 36.59 | 3000 | 0.2748 | 0.2689 | |
| | 0.8296 | 42.68 | 3500 | 0.2680 | 0.2534 | |
| | 0.7602 | 48.78 | 4000 | 0.2820 | 0.2506 | |
| | 0.7186 | 54.88 | 4500 | 0.2672 | 0.2398 | |
| | 0.6887 | 60.98 | 5000 | 0.2729 | 0.2402 | |
| | 0.6507 | 67.07 | 5500 | 0.2767 | 0.2361 | |
| | 0.6226 | 73.17 | 6000 | 0.2817 | 0.2332 | |
| | 0.6024 | 79.27 | 6500 | 0.2679 | 0.2279 | |
| | 0.5787 | 85.37 | 7000 | 0.2837 | 0.2316 | |
| | 0.5744 | 91.46 | 7500 | 0.2838 | 0.2284 | |
| | 0.5556 | 97.56 | 8000 | 0.2763 | 0.2281 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.17.0.dev0 |
| - Pytorch 1.10.2+cu102 |
| - Datasets 1.18.2.dev0 |
| - Tokenizers 0.11.0 |
| |
