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README.md
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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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- mozilla-foundation/common_voice_7_0
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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: ''
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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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#
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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 MOZILLA-FOUNDATION/COMMON_VOICE_7_0 - GA-IE dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9562
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- Wer: 0.4801
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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: 2e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 32
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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: 1000
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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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| 2.3731 | 15.62 | 500 | 1.5517 | 0.9499 |
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| 1.3312 | 31.25 | 1000 | 0.8717 | 0.6189 |
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| 0.9135 | 46.86 | 1500 | 0.8299 | 0.5310 |
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| 0.6719 | 62.49 | 2000 | 0.8842 | 0.5044 |
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| 0.5583 | 78.12 | 2500 | 0.9093 | 0.4801 |
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| 0.4728 | 93.74 | 3000 | 0.9488 | 0.4813 |
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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 1.18.2.dev0
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- Tokenizers 0.11.0
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