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README.md
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---
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library_name: transformers
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license: apache-2.0
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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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metrics:
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- wer
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model-index:
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- name: wav2vec2-xls-r-300m-swahili-cv-fleurs-alffa-alphabets-phonemes-bookbot
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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-xls-r-300m-swahili-cv-fleurs-alffa-alphabets-phonemes-bookbot
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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 None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1492
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- Wer: 0.0575
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- Cer: 0.0491
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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: 0.0002
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- train_batch_size: 16
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- eval_batch_size: 8
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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_ratio: 0.1
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- num_epochs: 3.0
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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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| 0.6145 | 0.9998 | 2494 | 0.2315 | 0.0814 | 0.0682 |
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| 0.4098 | 2.0 | 4989 | 0.1790 | 0.0674 | 0.0568 |
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| 0.2986 | 2.9994 | 7482 | 0.1492 | 0.0575 | 0.0491 |
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### Framework versions
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- Transformers 4.45.2
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- Pytorch 2.3.1
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- Datasets 2.19.2
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- Tokenizers 0.20.1
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