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--- |
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language: |
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- ga-IE |
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license: apache-2.0 |
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tags: |
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- automatic-speech-recognition |
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- robust-speech-event |
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datasets: |
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- mozilla-foundation/common_voice_8_0 |
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metrics: |
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- wer |
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- cer |
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model-index: |
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- name: wav2vec2-large-xls-r-1b-Irish-Abid |
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results: |
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- task: |
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type: automatic-speech-recognition |
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name: Speech Recognition |
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dataset: |
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type: mozilla-foundation/common_voice_8_0 |
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name: Common Voice ga-IE |
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args: ga-IE |
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metrics: |
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- type: wer |
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value: 42.36 |
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name: Test WER |
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- type: cer |
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value: 17.68 |
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name: Test CER |
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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-large-xls-r-1b-Irish |
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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 the common_voice dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3599 |
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- Wer: 0.4236 |
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- Cer: 0.1768 |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 7.5e-05 |
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- train_batch_size: 32 |
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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: 128 |
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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: 200 |
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- num_epochs: 100 |
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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 | Cer | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:| |
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| 6.3955 | 12.48 | 100 | 2.9897 | 1.0 | 1.0 | |
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| 2.3811 | 24.97 | 200 | 1.2304 | 0.7140 | 0.3106 | |
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| 1.0476 | 37.48 | 300 | 1.0661 | 0.5597 | 0.2407 | |
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| 0.7014 | 49.97 | 400 | 1.1788 | 0.4799 | 0.1947 | |
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| 0.4409 | 62.48 | 500 | 1.2649 | 0.4658 | 0.1997 | |
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| 0.4839 | 74.97 | 600 | 1.3259 | 0.4450 | 0.1868 | |
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| 0.3643 | 87.48 | 700 | 1.3506 | 0.4312 | 0.1760 | |
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| 0.3468 | 99.97 | 800 | 1.3599 | 0.4236 | 0.1768 | |
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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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