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--- |
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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-large-xlsr-darija |
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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-xlsr-darija |
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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: 1.1197 |
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- Wer: 0.7182 |
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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: 0.0003 |
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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_steps: 500 |
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- num_epochs: 30 |
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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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| 2.9899 | 3.3003 | 500 | 3.0004 | 0.9941 | |
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| 1.4295 | 6.6007 | 1000 | 1.1875 | 0.9684 | |
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| 0.8642 | 9.9010 | 1500 | 0.9675 | 0.8853 | |
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| 0.4967 | 13.2013 | 2000 | 0.9604 | 0.8331 | |
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| 0.6898 | 16.5017 | 2500 | 0.9469 | 0.7793 | |
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| 0.6133 | 19.8020 | 3000 | 0.9454 | 0.7450 | |
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| 0.3807 | 23.1023 | 3500 | 1.0373 | 0.7361 | |
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| 0.2648 | 26.4026 | 4000 | 1.0828 | 0.7222 | |
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| 0.2119 | 29.7030 | 4500 | 1.1177 | 0.7185 | |
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### Framework versions |
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- Transformers 4.41.0 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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