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--- |
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license: mit |
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base_model: FacebookAI/roberta-base |
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tags: |
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- generated_from_trainer |
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metrics: |
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- f1 |
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model-index: |
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- name: song-coherency-classifier-v2 |
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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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# song-coherency-classifier-v2 |
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This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1341 |
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- F1: [0.9784946236559139, 0.9789473684210526] |
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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: 2e-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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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:----------------------------------------:| |
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| No log | 1.0 | 190 | 0.0924 | [0.9760000000000001, 0.9761273209549072] | |
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| No log | 2.0 | 380 | 0.0926 | [0.9754768392370572, 0.9766233766233766] | |
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| 0.1717 | 3.0 | 570 | 0.0825 | [0.9810298102981029, 0.9817232375979111] | |
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| 0.1717 | 4.0 | 760 | 0.0892 | [0.9813333333333334, 0.9814323607427056] | |
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| 0.1717 | 5.0 | 950 | 0.0788 | [0.9838709677419355, 0.9842105263157895] | |
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| 0.0737 | 6.0 | 1140 | 0.1032 | [0.9813333333333334, 0.9814323607427056] | |
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| 0.0737 | 7.0 | 1330 | 0.1212 | [0.9783783783783783, 0.9790575916230367] | |
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| 0.0538 | 8.0 | 1520 | 0.1010 | [0.9786096256684492, 0.9788359788359788] | |
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| 0.0538 | 9.0 | 1710 | 0.1186 | [0.9811320754716981, 0.9816272965879265] | |
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| 0.0538 | 10.0 | 1900 | 0.1341 | [0.9784946236559139, 0.9789473684210526] | |
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### Framework versions |
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- Transformers 4.40.0 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
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