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--- |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: ft-wav2vec2-with-minds |
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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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# ft-wav2vec2-with-minds |
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This model was trained from scratch on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0333 |
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- Accuracy: 0.9972 |
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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: 3e-05 |
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- train_batch_size: 120 |
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- eval_batch_size: 120 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 480 |
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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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- num_epochs: 10 |
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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 | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 4.6092 | 1.0 | 9 | 2.4860 | 0.4311 | |
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| 1.4641 | 2.0 | 18 | 0.5758 | 0.7826 | |
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| 0.5061 | 3.0 | 27 | 0.1966 | 0.9756 | |
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| 0.2573 | 4.0 | 36 | 0.1038 | 0.9803 | |
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| 0.1557 | 5.0 | 45 | 0.0671 | 0.9859 | |
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| 0.1235 | 6.0 | 54 | 0.0333 | 0.9972 | |
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| 0.0725 | 7.0 | 63 | 0.0334 | 0.9944 | |
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| 0.0914 | 8.0 | 72 | 0.0279 | 0.9953 | |
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| 0.1695 | 9.0 | 81 | 0.0276 | 0.9972 | |
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| 0.1118 | 10.0 | 90 | 0.0290 | 0.9972 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 1.12.1+cu116 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.2 |
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