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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-iau |
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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-iau |
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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: 0.3381 |
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- Accuracy: 0.9091 |
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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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| 0.6948 | 1.0 | 6 | 0.6942 | 0.4091 | |
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| 0.6393 | 2.0 | 12 | 0.6864 | 0.4091 | |
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| 0.5059 | 3.0 | 18 | 0.5804 | 0.7727 | |
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| 0.3832 | 4.0 | 24 | 0.6555 | 0.5909 | |
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| 0.3113 | 5.0 | 30 | 0.4741 | 0.8182 | |
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| 0.2529 | 6.0 | 36 | 0.2765 | 0.9545 | |
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| 0.1891 | 7.0 | 42 | 0.2377 | 0.9545 | |
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| 0.1966 | 8.0 | 48 | 0.2146 | 0.9545 | |
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| 0.1326 | 9.0 | 54 | 0.2941 | 0.9091 | |
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| 0.1938 | 10.0 | 60 | 0.3241 | 0.9091 | |
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| 0.0933 | 11.0 | 66 | 0.3281 | 0.9091 | |
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| 0.0831 | 12.0 | 72 | 0.4237 | 0.8636 | |
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| 0.0801 | 13.0 | 78 | 0.3362 | 0.9091 | |
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| 0.0632 | 14.0 | 84 | 0.3377 | 0.9091 | |
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| 0.0746 | 15.0 | 90 | 0.3381 | 0.9091 | |
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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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