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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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- generated_from_trainer |
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model-index: |
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- name: wav2vec2-E30_freq_speed_pause |
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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-E30_freq_speed_pause |
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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 an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.0912 |
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- Cer: 46.1231 |
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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: 8 |
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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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- lr_scheduler_warmup_steps: 50 |
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- num_epochs: 3 |
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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 | Cer | |
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|:-------------:|:------:|:----:|:---------------:|:-------:| |
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| 31.7937 | 0.1289 | 200 | 5.1147 | 100.0 | |
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| 4.9653 | 0.2579 | 400 | 4.6684 | 100.0 | |
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| 4.8114 | 0.3868 | 600 | 4.6765 | 100.0 | |
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| 4.7658 | 0.5158 | 800 | 4.6123 | 97.7150 | |
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| 4.6791 | 0.6447 | 1000 | 4.6076 | 98.9544 | |
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| 4.6438 | 0.7737 | 1200 | 4.6205 | 97.6974 | |
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| 4.5903 | 0.9026 | 1400 | 4.4614 | 97.8442 | |
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| 4.439 | 1.0316 | 1600 | 4.4028 | 98.2848 | |
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| 4.1968 | 1.1605 | 1800 | 4.2323 | 94.1612 | |
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| 3.8917 | 1.2895 | 2000 | 3.8326 | 78.5127 | |
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| 3.5148 | 1.4184 | 2200 | 3.6092 | 70.7119 | |
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| 3.2601 | 1.5474 | 2400 | 3.3938 | 71.4873 | |
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| 3.0276 | 1.6763 | 2600 | 3.1059 | 64.2094 | |
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| 2.8883 | 1.8053 | 2800 | 2.9391 | 61.2841 | |
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| 2.7381 | 1.9342 | 3000 | 2.7814 | 59.1929 | |
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| 2.5905 | 2.0632 | 3200 | 2.5964 | 54.9988 | |
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| 2.4555 | 2.1921 | 3400 | 2.3926 | 51.0456 | |
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| 2.3566 | 2.3211 | 3600 | 2.3930 | 51.1689 | |
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| 2.2751 | 2.4500 | 3800 | 2.2846 | 49.4596 | |
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| 2.1796 | 2.5790 | 4000 | 2.1934 | 48.0028 | |
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| 2.1292 | 2.7079 | 4200 | 2.1426 | 47.0923 | |
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| 2.0724 | 2.8369 | 4400 | 2.1201 | 47.0042 | |
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| 2.0759 | 2.9658 | 4600 | 2.0912 | 46.1231 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.19.1 |
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