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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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- wer |
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model-index: |
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- name: apac_5sents_XLS-R_5e-5 |
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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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# apac_5sents_XLS-R_5e-5 |
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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: 1.6693 |
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- Wer: 0.6607 |
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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: 5e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 128 |
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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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- training_steps: 20000 |
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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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| 98.1859 | 11.11 | 200 | 75.6610 | 1.0 | |
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| 66.0186 | 22.22 | 400 | 52.7194 | 1.0 | |
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| 40.6772 | 33.32 | 600 | 26.2206 | 1.0 | |
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| 16.4279 | 44.43 | 800 | 8.3596 | 1.0 | |
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| 6.1402 | 55.54 | 1000 | 5.3091 | 1.0 | |
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| 4.733 | 66.65 | 1200 | 4.5618 | 1.0 | |
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| 3.4737 | 77.76 | 1400 | 3.4971 | 1.0 | |
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| 1.6412 | 88.86 | 1600 | 2.7199 | 0.9219 | |
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| 0.8524 | 99.97 | 1800 | 2.0043 | 0.9241 | |
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| 0.6227 | 111.11 | 2000 | 2.1371 | 0.9330 | |
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| 0.4834 | 122.22 | 2200 | 1.6094 | 0.9196 | |
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| 0.3944 | 133.32 | 2400 | 2.2378 | 0.9531 | |
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| 0.2975 | 144.43 | 2600 | 1.7241 | 0.8862 | |
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| 0.194 | 155.54 | 2800 | 1.8496 | 0.7679 | |
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| 0.1211 | 166.65 | 3000 | 1.4915 | 0.6808 | |
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| 0.0866 | 177.76 | 3200 | 1.9463 | 0.6429 | |
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| 0.0696 | 188.86 | 3400 | 2.0191 | 0.5737 | |
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| 0.0563 | 199.97 | 3600 | 2.4305 | 0.6562 | |
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| 0.0461 | 211.11 | 3800 | 1.6485 | 0.6138 | |
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| 0.0413 | 222.22 | 4000 | 2.2569 | 0.6272 | |
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### Framework versions |
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- Transformers 4.26.1 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.11.0 |
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- Tokenizers 0.13.3 |
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