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--- |
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language: |
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- et |
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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_7_0 |
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- generated_from_trainer |
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- robust-speech-event |
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- et |
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- hf-asr-leaderboard |
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datasets: |
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- mozilla-foundation/common_voice_7_0 |
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model-index: |
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- name: '' |
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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 7 |
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type: mozilla-foundation/common_voice_7_0 |
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args: et |
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metrics: |
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- name: Test WER |
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type: wer |
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value: 0.34753420299077314 |
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- name: Test CER |
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type: cer |
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value: 0.07542956089330906 |
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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: et |
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metrics: |
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- name: Test WER |
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type: wer |
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value: 47.17 |
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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: et |
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metrics: |
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- name: Test WER |
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type: wer |
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value: 54.72 |
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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_7_0 - ET dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4835 |
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- Wer: 0.3475 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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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: 72 |
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- eval_batch_size: 72 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 144 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 500 |
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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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| 0.3825 | 12.5 | 500 | 0.4022 | 0.5059 | |
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| 0.1592 | 25.0 | 1000 | 0.4585 | 0.4456 | |
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| 0.1215 | 37.5 | 1500 | 0.4550 | 0.4164 | |
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| 0.0972 | 50.0 | 2000 | 0.4725 | 0.4088 | |
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| 0.0731 | 62.5 | 2500 | 0.4568 | 0.3824 | |
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| 0.0527 | 75.0 | 3000 | 0.4712 | 0.3653 | |
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| 0.0428 | 87.5 | 3500 | 0.4813 | 0.3520 | |
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| 0.0383 | 100.0 | 4000 | 0.4835 | 0.3475 | |
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### Framework versions |
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- Transformers 4.16.0.dev0 |
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- Pytorch 1.10.1+cu102 |
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- Datasets 1.18.4.dev0 |
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- Tokenizers 0.11.0 |
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