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--- |
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language: |
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- pt |
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license: apache-2.0 |
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tags: |
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- automatic-speech-recognition |
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- generated_from_trainer |
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- pt |
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- robust-speech-event |
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- hf-asr-leaderboard |
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model-index: |
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- name: wav2vec2-xls-r-1b-portuguese-CORAA-3 |
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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: pt |
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metrics: |
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- name: Test WER |
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type: wer |
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value: 71.67 |
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- name: Test CER |
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type: cer |
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value: 30.64 |
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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: pt |
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metrics: |
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- name: Test WER |
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type: wer |
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value: 68.18 |
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- name: Test CER |
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type: cer |
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value: 28.34 |
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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: sv |
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metrics: |
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- name: Test WER |
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type: wer |
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value: 56.76 |
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- name: Test CER |
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type: cer |
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value: 23.7 |
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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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# wav2vec2-xls-r-1b-portuguese-CORAA-3 |
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This model is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b) on [CORAA dataset](https://github.com/nilc-nlp/CORAA). |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0029 |
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- Wer: 0.6020 |
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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: 4 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 16 |
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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: 5000 |
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- training_steps: 30000 |
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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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| 2.0169 | 0.21 | 5000 | 1.9582 | 0.9283 | |
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| 1.8561 | 0.42 | 10000 | 1.6144 | 0.8554 | |
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| 1.6823 | 0.63 | 15000 | 1.4165 | 0.7710 | |
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| 1.52 | 0.84 | 20000 | 1.2441 | 0.7289 | |
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| 1.3757 | 1.05 | 25000 | 1.1061 | 0.6491 | |
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| 1.2377 | 1.26 | 30000 | 1.0029 | 0.6020 | |
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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 1.18.3.dev0 |
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- Tokenizers 0.11.0 |
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