End of training
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README.md
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base_model: facebook/wav2vec2-xls-r-300m
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tags:
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- generated_from_trainer
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model-index:
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- name: XLS-R-LUGANDA-ASR-CV14
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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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# XLS-R-LUGANDA-ASR-CV14
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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
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## Model description
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- training_steps: 10000
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.38.1
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base_model: facebook/wav2vec2-xls-r-300m
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tags:
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- generated_from_trainer
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datasets:
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- common_voice_14_0
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metrics:
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- wer
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model-index:
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- name: XLS-R-LUGANDA-ASR-CV14
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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_14_0
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type: common_voice_14_0
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config: lg
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split: test
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args: lg
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metrics:
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- name: Wer
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type: wer
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value: 0.2406197895094572
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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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# XLS-R-LUGANDA-ASR-CV14
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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 common_voice_14_0 dataset.
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It achieves the following results on the evaluation set:
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- Loss: inf
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- Wer: 0.2406
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- Cer: 0.0537
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## Model description
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- training_steps: 10000
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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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| 4.24 | 0.18 | 400 | inf | 0.8354 | 0.2170 |
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| 0.6124 | 0.36 | 800 | inf | 0.5690 | 0.1360 |
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| 0.4411 | 0.54 | 1200 | inf | 0.4746 | 0.1120 |
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| 0.3839 | 0.72 | 1600 | inf | 0.4409 | 0.1050 |
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| 0.3504 | 0.9 | 2000 | inf | 0.3955 | 0.0943 |
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| 0.3214 | 1.08 | 2400 | inf | 0.3678 | 0.0854 |
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| 0.2879 | 1.26 | 2800 | inf | 0.3614 | 0.0836 |
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| 0.284 | 1.45 | 3200 | inf | 0.3411 | 0.0789 |
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| 0.2683 | 1.63 | 3600 | inf | 0.3362 | 0.0767 |
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| 0.2572 | 1.81 | 4000 | inf | 0.3241 | 0.0740 |
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| 0.2532 | 1.99 | 4400 | inf | 0.3117 | 0.0719 |
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| 0.2228 | 2.17 | 4800 | inf | 0.2977 | 0.0677 |
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| 0.2143 | 2.35 | 5200 | inf | 0.2969 | 0.0676 |
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| 0.211 | 2.53 | 5600 | inf | 0.2918 | 0.0665 |
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| 0.2066 | 2.71 | 6000 | inf | 0.2848 | 0.0647 |
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| 0.2026 | 2.89 | 6400 | inf | 0.2804 | 0.0637 |
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| 0.1898 | 3.07 | 6800 | inf | 0.2744 | 0.0627 |
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| 0.1747 | 3.25 | 7200 | inf | 0.2668 | 0.0603 |
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| 0.1667 | 3.43 | 7600 | inf | 0.2631 | 0.0597 |
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| 0.1639 | 3.61 | 8000 | inf | 0.2558 | 0.0580 |
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| 0.1601 | 3.79 | 8400 | inf | 0.2519 | 0.0567 |
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| 0.1546 | 3.98 | 8800 | inf | 0.2487 | 0.0554 |
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| 0.1395 | 4.16 | 9200 | inf | 0.2449 | 0.0551 |
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| 0.1364 | 4.34 | 9600 | inf | 0.2425 | 0.0542 |
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| 0.1341 | 4.52 | 10000 | inf | 0.2406 | 0.0537 |
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### Framework versions
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- Transformers 4.38.1
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