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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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datasets:
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- common_voice
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model-index:
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- name: wav2vec2-large-xls-r-1b-Irish
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results: []
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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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## 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: 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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