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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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metrics: |
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- accuracy |
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model-index: |
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- name: resultsfinal |
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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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# resultsfinal |
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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 None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6727 |
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- Accuracy: 0.6180 |
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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: 0.005 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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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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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.7409 | 1.0 | 23 | 0.7039 | 0.6180 | |
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| 0.696 | 2.0 | 46 | 0.6730 | 0.6180 | |
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| 0.6814 | 3.0 | 69 | 0.6656 | 0.6180 | |
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| 0.6928 | 4.0 | 92 | 0.6776 | 0.6180 | |
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| 0.7039 | 5.0 | 115 | 0.6706 | 0.6180 | |
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| 0.6963 | 6.0 | 138 | 0.6704 | 0.6180 | |
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| 0.7109 | 7.0 | 161 | 0.6724 | 0.6180 | |
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| 0.7048 | 8.0 | 184 | 0.6678 | 0.6180 | |
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| 0.6897 | 9.0 | 207 | 0.6745 | 0.6180 | |
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| 0.694 | 10.0 | 230 | 0.6742 | 0.6180 | |
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| 0.6761 | 11.0 | 253 | 0.6704 | 0.6180 | |
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| 0.6856 | 12.0 | 276 | 0.6666 | 0.6180 | |
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| 0.6796 | 13.0 | 299 | 0.6720 | 0.6180 | |
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| 0.7024 | 14.0 | 322 | 0.6738 | 0.6180 | |
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| 0.68 | 15.0 | 345 | 0.6721 | 0.6180 | |
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| 0.6799 | 16.0 | 368 | 0.6696 | 0.6180 | |
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| 0.6912 | 17.0 | 391 | 0.6727 | 0.6180 | |
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| 0.6896 | 18.0 | 414 | 0.6735 | 0.6180 | |
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| 0.6856 | 19.0 | 437 | 0.6731 | 0.6180 | |
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| 0.6753 | 20.0 | 460 | 0.6727 | 0.6180 | |
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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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