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--- |
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license: apache-2.0 |
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base_model: facebook/wav2vec2-base |
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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: IDAT_red_aug_5443_novel_Wav2Vec |
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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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# IDAT_red_aug_5443_novel_Wav2Vec |
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0190 |
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- Accuracy: 0.7025 |
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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: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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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_ratio: 0.1 |
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- num_epochs: 10 |
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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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| 0.576 | 1.0 | 200 | 0.6397 | 0.6512 | |
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| 0.5181 | 2.0 | 400 | 0.5415 | 0.7425 | |
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| 0.3743 | 3.0 | 600 | 0.5854 | 0.7662 | |
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| 0.3121 | 4.0 | 800 | 0.3357 | 0.8625 | |
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| 0.3069 | 5.0 | 1000 | 0.3341 | 0.865 | |
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| 0.3384 | 6.0 | 1200 | 0.3345 | 0.8625 | |
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| 0.449 | 7.0 | 1400 | 0.4558 | 0.7762 | |
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| 0.3062 | 8.0 | 1600 | 0.2643 | 0.91 | |
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| 0.1498 | 9.0 | 1800 | 0.6104 | 0.7887 | |
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| 0.0141 | 10.0 | 2000 | 1.0190 | 0.7025 | |
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### Framework versions |
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- Transformers 4.32.1 |
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- Pytorch 2.1.2 |
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- Datasets 2.16.1 |
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- Tokenizers 0.13.3 |
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