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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: chordektomie-sentence |
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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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# chordektomie-sentence |
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3963 |
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- Accuracy: 0.8636 |
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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: 16 |
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- eval_batch_size: 16 |
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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_ratio: 0.1 |
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- num_epochs: 15 |
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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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| 0.6931 | 1.0 | 6 | 0.7023 | 0.2273 | |
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| 0.6659 | 2.0 | 12 | 0.7066 | 0.3182 | |
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| 0.5839 | 3.0 | 18 | 0.5774 | 0.8636 | |
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| 0.4567 | 4.0 | 24 | 0.5393 | 0.8182 | |
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| 0.3303 | 5.0 | 30 | 0.4371 | 0.8182 | |
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| 0.2379 | 6.0 | 36 | 0.3744 | 0.8182 | |
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| 0.1511 | 7.0 | 42 | 0.5223 | 0.8182 | |
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| 0.1061 | 8.0 | 48 | 0.5431 | 0.8182 | |
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| 0.0781 | 9.0 | 54 | 0.3211 | 0.9091 | |
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| 0.0623 | 10.0 | 60 | 0.3216 | 0.9091 | |
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| 0.0681 | 11.0 | 66 | 0.3336 | 0.9091 | |
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| 0.0475 | 12.0 | 72 | 0.3459 | 0.9091 | |
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| 0.0441 | 13.0 | 78 | 0.3811 | 0.8636 | |
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| 0.0419 | 14.0 | 84 | 0.3959 | 0.8636 | |
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| 0.0409 | 15.0 | 90 | 0.3963 | 0.8636 | |
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### Framework versions |
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- Transformers 4.37.2 |
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- Pytorch 2.2.0 |
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- Datasets 2.12.0 |
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- Tokenizers 0.15.1 |
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