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--- |
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license: cc-by-sa-4.0 |
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base_model: classla/xlm-roberta-base-multilingual-text-genre-classifier |
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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: movie-genre-predictions |
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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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# movie-genre-predictions |
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This model is a fine-tuned version of [classla/xlm-roberta-base-multilingual-text-genre-classifier](https://huggingface.co/classla/xlm-roberta-base-multilingual-text-genre-classifier) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.8254 |
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- Accuracy: 0.4039 |
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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: 1e-05 |
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- train_batch_size: 64 |
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- eval_batch_size: 64 |
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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: 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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| 2.0066 | 1.0 | 580 | 1.7868 | 0.3721 | |
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| 1.776 | 2.0 | 1160 | 1.7651 | 0.3909 | |
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| 1.686 | 3.0 | 1740 | 1.6970 | 0.4086 | |
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| 1.6282 | 4.0 | 2320 | 1.6960 | 0.4098 | |
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| 1.5714 | 5.0 | 2900 | 1.6749 | 0.4137 | |
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| 1.516 | 6.0 | 3480 | 1.6763 | 0.4142 | |
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| 1.4244 | 7.0 | 4060 | 1.7029 | 0.4159 | |
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| 1.3822 | 8.0 | 4640 | 1.7114 | 0.4143 | |
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| 1.3422 | 9.0 | 5220 | 1.7400 | 0.4131 | |
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| 1.3099 | 10.0 | 5800 | 1.7681 | 0.4084 | |
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| 1.2757 | 11.0 | 6380 | 1.7830 | 0.4049 | |
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| 1.2489 | 12.0 | 6960 | 1.7978 | 0.4050 | |
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| 1.2039 | 13.0 | 7540 | 1.8142 | 0.4058 | |
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| 1.1839 | 14.0 | 8120 | 1.8243 | 0.4044 | |
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| 1.1641 | 15.0 | 8700 | 1.8254 | 0.4039 | |
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### Framework versions |
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- Transformers 4.34.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.1 |
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