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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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- automatic-speech-recognition |
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- bookbot/common_voice_16_1_sw |
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- bookbot/ALFFA_swahili |
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- bookbot/fleurs_sw |
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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-word |
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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-word |
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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: 0.2057 |
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- Wer: 0.2194 |
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- Cer: 0.1098 |
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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: 5.0 |
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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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| 0.3702 | 1.0 | 1961 | 0.2878 | 0.3335 | 0.1367 | |
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| 0.2333 | 2.0 | 3922 | 0.2324 | 0.2653 | 0.1219 | |
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| 0.172 | 3.0 | 5883 | 0.2136 | 0.2464 | 0.1162 | |
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| 0.1331 | 4.0 | 7844 | 0.2043 | 0.2287 | 0.1127 | |
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| 0.1018 | 5.0 | 9805 | 0.2057 | 0.2194 | 0.1098 | |
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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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