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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- common_voice_13_0 |
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metrics: |
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- wer |
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model-index: |
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- name: wav2vec2-large-xlsr-53-AsanteTwi-06 |
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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_13_0 |
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type: common_voice_13_0 |
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config: tw |
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split: test |
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args: tw |
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metrics: |
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- name: Wer |
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type: wer |
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value: 0.5 |
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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-53-AsanteTwi-06 |
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This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the common_voice_13_0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6122 |
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- Wer: 0.5 |
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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: 0.0001 |
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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: 200 |
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- num_epochs: 300 |
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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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| 9.3303 | 16.67 | 100 | 5.2842 | 1.0 | |
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| 2.961 | 33.33 | 200 | 3.1857 | 1.0 | |
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| 2.8758 | 50.0 | 300 | 2.9988 | 1.0 | |
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| 2.8331 | 66.67 | 400 | 2.8830 | 1.0 | |
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| 2.4893 | 83.33 | 500 | 2.1638 | 1.0 | |
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| 1.1901 | 100.0 | 600 | 0.7611 | 0.5625 | |
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| 0.5563 | 116.67 | 700 | 0.7503 | 0.5 | |
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| 0.3916 | 133.33 | 800 | 0.6324 | 0.5 | |
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| 0.288 | 150.0 | 900 | 0.8291 | 0.5 | |
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| 0.2176 | 166.67 | 1000 | 0.7383 | 0.5625 | |
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| 0.1814 | 183.33 | 1100 | 0.6408 | 0.5 | |
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| 0.1749 | 200.0 | 1200 | 0.5769 | 0.5625 | |
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| 0.1653 | 216.67 | 1300 | 0.6512 | 0.5 | |
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| 0.1301 | 233.33 | 1400 | 0.6414 | 0.4375 | |
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| 0.1375 | 250.0 | 1500 | 0.5970 | 0.5 | |
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| 0.1173 | 266.67 | 1600 | 0.6119 | 0.5 | |
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| 0.108 | 283.33 | 1700 | 0.6325 | 0.5 | |
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| 0.1183 | 300.0 | 1800 | 0.6122 | 0.5 | |
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### Framework versions |
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- Transformers 4.30.2 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.13.1 |
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- Tokenizers 0.13.3 |
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