| --- |
| language: |
| - gl |
| license: apache-2.0 |
| tags: |
| - automatic-speech-recognition |
| - mozilla-foundation/common_voice_8_0 |
| - generated_from_trainer |
| - gl |
| - robust-speech-event |
| - model_for_talk |
| - hf-asr-leaderboard |
| datasets: |
| - mozilla-foundation/common_voice_8_0 |
| model-index: |
| - name: Akashpb13/Galician_xlsr |
| results: |
| - task: |
| name: Automatic Speech Recognition |
| type: automatic-speech-recognition |
| dataset: |
| name: Common Voice 8 |
| type: mozilla-foundation/common_voice_8_0 |
| args: kmr |
| metrics: |
| - name: Test WER |
| type: wer |
| value: 0.11308483789555426 |
| - name: Test CER |
| type: cer |
| value: 0.023982371794871796 |
| - task: |
| name: Automatic Speech Recognition |
| type: automatic-speech-recognition |
| dataset: |
| name: Robust Speech Event - Dev Data |
| type: speech-recognition-community-v2/dev_data |
| args: gl |
| metrics: |
| - name: Test WER |
| type: wer |
| value: 0.11308483789555426 |
| - name: Test CER |
| type: cer |
| value: 0.023982371794871796 |
| - task: |
| name: Automatic Speech Recognition |
| type: automatic-speech-recognition |
| dataset: |
| name: Common Voice 8.0 |
| type: mozilla-foundation/common_voice_8_0 |
| args: gl |
| metrics: |
| - name: Test WER |
| type: wer |
| value: 11.31 |
| - task: |
| name: Automatic Speech Recognition |
| type: automatic-speech-recognition |
| dataset: |
| name: Robust Speech Event - Test Data |
| type: speech-recognition-community-v2/eval_data |
| args: gl |
| metrics: |
| - name: Test WER |
| type: wer |
| value: 39.05 |
| --- |
| |
| # Akashpb13/Galician_xlsr |
| |
| 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_7_0 - hu dataset. |
| It achieves the following results on the evaluation set (which is 10 percent of train data set merged with invalidated data, reported, other, and dev datasets): |
| - Loss: 0.137096 |
| - Wer: 0.196230 |
| ## Model description |
| "facebook/wav2vec2-xls-r-300m" was finetuned. |
|
|
| ## Intended uses & limitations |
| More information needed |
| ## Training and evaluation data |
| Training data - |
| Common voice Galician train.tsv, dev.tsv, invalidated.tsv, reported.tsv, and other.tsv |
| Only those points were considered where upvotes were greater than downvotes and duplicates were removed after concatenation of all the datasets given in common voice 7.0 |
|
|
| ## Training procedure |
| For creating the training dataset, all possible datasets were appended and 90-10 split was used. |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
|
|
| - learning_rate: 0.000096 |
| - train_batch_size: 16 |
| - eval_batch_size: 16 |
| - seed: 13 |
| - gradient_accumulation_steps: 2 |
| - lr_scheduler_type: cosine_with_restarts |
| - lr_scheduler_warmup_steps: 500 |
| - num_epochs: 100 |
| - mixed_precision_training: Native AMP |
| |
| |
| ### Training results |
| |
| | Step | Training Loss | Validation Loss | Wer | |
| |------|---------------|-----------------|----------| |
| | 500 | 5.038100 | 3.035432 | 1.000000 | |
| | 1000 | 2.180000 | 0.406300 | 0.557964 | |
| | 1500 | 0.331700 | 0.153797 | 0.262394 | |
| | 2000 | 0.171600 | 0.145268 | 0.235627 | |
| | 2500 | 0.125900 | 0.136622 | 0.228087 | |
| | 3000 | 0.105400 | 0.131650 | 0.224128 | |
| | 3500 | 0.087600 | 0.141032 | 0.217531 | |
| | 4000 | 0.078300 | 0.143675 | 0.214515 | |
| | 4500 | 0.070000 | 0.144607 | 0.208106 | |
| | 5000 | 0.061500 | 0.135259 | 0.202828 | |
| | 5500 | 0.055600 | 0.130638 | 0.203959 | |
| | 6000 | 0.050500 | 0.137416 | 0.202451 | |
| | 6500 | 0.046600 | 0.140379 | 0.200000 | |
| | 7000 | 0.040800 | 0.140179 | 0.200377 | |
| | 7500 | 0.041000 | 0.138089 | 0.196795 | |
| | 8000 | 0.038400 | 0.136927 | 0.197172 | |
| |
| ### Framework versions |
| - Transformers 4.16.0.dev0 |
| - Pytorch 1.10.0+cu102 |
| - Datasets 1.18.3 |
| - Tokenizers 0.10.3 |
| |
| #### Evaluation Commands |
| |
| 1. To evaluate on `mozilla-foundation/common_voice_8_0` with split `test` |
|
|
| ```bash |
| python eval.py --model_id Akashpb13/Galician_xlsr --dataset mozilla-foundation/common_voice_8_0 --config gl --split test |
| ``` |
|
|
|
|
