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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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model-index: |
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- name: kids_phoneme_sm_model |
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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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# kids_phoneme_sm_model |
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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: 15.8911 |
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- Cer: 1.0 |
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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: 4e-59 |
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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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- 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: 30 |
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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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| 6.5005 | 0.74 | 500 | 15.8911 | 1.0 | |
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| 6.3865 | 1.48 | 1000 | 15.8911 | 1.0 | |
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| 6.3822 | 2.22 | 1500 | 15.8911 | 1.0 | |
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| 6.4251 | 2.96 | 2000 | 15.8911 | 1.0 | |
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| 6.3836 | 3.7 | 2500 | 15.8911 | 1.0 | |
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| 6.4552 | 4.44 | 3000 | 15.8911 | 1.0 | |
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| 6.4287 | 5.19 | 3500 | 15.8911 | 1.0 | |
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| 6.4304 | 5.93 | 4000 | 15.8911 | 1.0 | |
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| 6.375 | 6.67 | 4500 | 15.8911 | 1.0 | |
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| 6.5434 | 7.41 | 5000 | 15.8911 | 1.0 | |
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| 6.319 | 8.15 | 5500 | 15.8911 | 1.0 | |
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| 6.4693 | 8.89 | 6000 | 15.8911 | 1.0 | |
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| 6.4585 | 9.63 | 6500 | 15.8911 | 1.0 | |
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| 6.4795 | 10.37 | 7000 | 15.8911 | 1.0 | |
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| 6.393 | 11.11 | 7500 | 15.8911 | 1.0 | |
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| 6.3489 | 11.85 | 8000 | 15.8911 | 1.0 | |
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| 6.4511 | 12.59 | 8500 | 15.8911 | 1.0 | |
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| 6.3378 | 13.33 | 9000 | 15.8911 | 1.0 | |
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| 6.5094 | 14.07 | 9500 | 15.8911 | 1.0 | |
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| 6.3643 | 14.81 | 10000 | 15.8911 | 1.0 | |
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| 6.5079 | 15.56 | 10500 | 15.8911 | 1.0 | |
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| 6.4272 | 16.3 | 11000 | 15.8911 | 1.0 | |
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| 6.3937 | 17.04 | 11500 | 15.8911 | 1.0 | |
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| 6.3704 | 17.78 | 12000 | 15.8911 | 1.0 | |
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| 6.3797 | 18.52 | 12500 | 15.8911 | 1.0 | |
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| 6.5126 | 19.26 | 13000 | 15.8911 | 1.0 | |
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| 6.4111 | 20.0 | 13500 | 15.8911 | 1.0 | |
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| 6.3557 | 20.74 | 14000 | 15.8911 | 1.0 | |
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| 6.5705 | 21.48 | 14500 | 15.8911 | 1.0 | |
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| 6.3207 | 22.22 | 15000 | 15.8911 | 1.0 | |
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| 6.4664 | 22.96 | 15500 | 15.8911 | 1.0 | |
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| 6.4401 | 23.7 | 16000 | 15.8911 | 1.0 | |
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| 6.4136 | 24.44 | 16500 | 15.8911 | 1.0 | |
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| 6.5345 | 25.19 | 17000 | 15.8911 | 1.0 | |
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| 6.4097 | 25.93 | 17500 | 15.8911 | 1.0 | |
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| 6.2736 | 26.67 | 18000 | 15.8911 | 1.0 | |
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| 6.5474 | 27.41 | 18500 | 15.8911 | 1.0 | |
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| 6.3997 | 28.15 | 19000 | 15.8911 | 1.0 | |
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| 6.3997 | 28.89 | 19500 | 15.8911 | 1.0 | |
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| 6.5538 | 29.63 | 20000 | 15.8911 | 1.0 | |
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### Framework versions |
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- Transformers 4.30.1 |
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- Pytorch 2.0.0 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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