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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-1b |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: wav2vec2-1b-Elderly4 |
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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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# wav2vec2-1b-Elderly4 |
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This model is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3586 |
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- Cer: 9.6863 |
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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: 2 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 16 |
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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: 5 |
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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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| 8.3662 | 0.2580 | 200 | 1.7987 | 35.5146 | |
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| 1.448 | 0.5160 | 400 | 1.1509 | 26.5801 | |
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| 1.1188 | 0.7741 | 600 | 1.0576 | 24.9471 | |
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| 0.9565 | 1.0321 | 800 | 0.9458 | 23.6783 | |
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| 0.7732 | 1.2901 | 1000 | 0.7574 | 18.7911 | |
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| 0.7109 | 1.5481 | 1200 | 0.6910 | 17.4636 | |
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| 0.6921 | 1.8062 | 1400 | 0.6866 | 18.4387 | |
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| 0.6118 | 2.0642 | 1600 | 0.6038 | 15.8071 | |
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| 0.5056 | 2.3222 | 1800 | 0.6301 | 16.7058 | |
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| 0.4852 | 2.5802 | 2000 | 0.5687 | 14.9495 | |
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| 0.4708 | 2.8383 | 2200 | 0.5481 | 15.1257 | |
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| 0.4406 | 3.0963 | 2400 | 0.4806 | 13.2049 | |
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| 0.3592 | 3.3543 | 2600 | 0.4766 | 12.5529 | |
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| 0.3367 | 3.6123 | 2800 | 0.4146 | 11.3076 | |
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| 0.3173 | 3.8703 | 3000 | 0.3976 | 10.9492 | |
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| 0.274 | 4.1284 | 3200 | 0.4133 | 10.8964 | |
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| 0.2338 | 4.3864 | 3400 | 0.3755 | 10.1797 | |
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| 0.227 | 4.6444 | 3600 | 0.3729 | 9.8978 | |
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| 0.2144 | 4.9024 | 3800 | 0.3586 | 9.6863 | |
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### Framework versions |
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- Transformers 4.45.2 |
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- Pytorch 2.3.1.post100 |
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- Datasets 2.19.1 |
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- Tokenizers 0.20.1 |
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