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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-Y_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-Y_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: 1.6778 |
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- Cer: 39.4267 |
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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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| 5.1062 | 0.1290 | 200 | 4.7053 | 100.0 | |
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| 4.8751 | 0.2581 | 400 | 4.8829 | 100.0 | |
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| 4.7665 | 0.3871 | 600 | 4.6329 | 98.8781 | |
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| 4.6575 | 0.5161 | 800 | 4.7058 | 98.4199 | |
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| 4.2511 | 0.6452 | 1000 | 4.2469 | 90.7777 | |
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| 3.1636 | 0.7742 | 1200 | 3.3817 | 69.3844 | |
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| 2.6261 | 0.9032 | 1400 | 2.9457 | 60.4676 | |
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| 2.1994 | 1.0323 | 1600 | 2.6949 | 56.0092 | |
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| 1.924 | 1.1613 | 1800 | 2.5125 | 52.3085 | |
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| 1.7291 | 1.2903 | 2000 | 2.2571 | 49.5653 | |
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| 1.5934 | 1.4194 | 2200 | 2.0517 | 46.2523 | |
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| 1.5086 | 1.5484 | 2400 | 2.1590 | 46.3757 | |
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| 1.4041 | 1.6774 | 2600 | 2.0795 | 46.1407 | |
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| 1.3266 | 1.8065 | 2800 | 2.1936 | 47.5388 | |
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| 1.2494 | 1.9355 | 3000 | 2.0095 | 45.1891 | |
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| 1.1305 | 2.0645 | 3200 | 1.8807 | 43.5092 | |
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| 1.0493 | 2.1935 | 3400 | 1.7053 | 40.0141 | |
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| 0.9978 | 2.3226 | 3600 | 1.8685 | 43.1508 | |
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| 0.9689 | 2.4516 | 3800 | 1.8416 | 41.8938 | |
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| 0.9527 | 2.5806 | 4000 | 1.7686 | 42.1405 | |
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| 0.8927 | 2.7097 | 4200 | 1.7281 | 40.0611 | |
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| 0.8958 | 2.8387 | 4400 | 1.6940 | 39.6264 | |
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| 0.8855 | 2.9677 | 4600 | 1.6778 | 39.4267 | |
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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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