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--- |
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license: apache-2.0 |
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base_model: facebook/wav2vec2-large-xlsr-53 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- xtreme_s |
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metrics: |
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- wer |
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model-index: |
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- name: wav2vec2-XLS-R-Fleurs-demo-google-colab-Ezra_William_Prod9 |
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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: xtreme_s |
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type: xtreme_s |
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config: fleurs.id_id |
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split: test |
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args: fleurs.id_id |
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metrics: |
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- name: Wer |
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type: wer |
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value: 0.9842089507558749 |
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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-Fleurs-demo-google-colab-Ezra_William_Prod9 |
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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 xtreme_s dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3012 |
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- Wer: 0.9842 |
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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: 0.001 |
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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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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 20 |
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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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| No log | 1.0 | 39 | 2.8812 | 1.0 | |
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| No log | 2.0 | 78 | 2.8688 | 1.0 | |
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| No log | 3.0 | 117 | 2.8722 | 1.0 | |
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| No log | 4.0 | 156 | 2.8640 | 1.0 | |
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| No log | 5.0 | 195 | 2.8447 | 1.0 | |
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| No log | 6.0 | 234 | 2.8468 | 1.0 | |
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| No log | 7.0 | 273 | 2.8465 | 1.0 | |
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| No log | 8.0 | 312 | 2.8488 | 1.0 | |
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| No log | 9.0 | 351 | 2.8355 | 1.0 | |
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| No log | 10.0 | 390 | 2.8167 | 1.0 | |
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| No log | 11.0 | 429 | 2.8076 | 1.0 | |
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| No log | 12.0 | 468 | 2.7065 | 1.0 | |
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| 2.9881 | 13.0 | 507 | 2.5506 | 1.0 | |
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| 2.9881 | 14.0 | 546 | 2.2657 | 1.0 | |
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| 2.9881 | 15.0 | 585 | 1.9921 | 1.0 | |
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| 2.9881 | 16.0 | 624 | 1.7390 | 1.0 | |
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| 2.9881 | 17.0 | 663 | 1.5309 | 1.0 | |
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| 2.9881 | 18.0 | 702 | 1.4300 | 0.9994 | |
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| 2.9881 | 19.0 | 741 | 1.3280 | 0.9938 | |
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| 2.9881 | 20.0 | 780 | 1.3012 | 0.9842 | |
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### Framework versions |
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- Transformers 4.39.1 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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