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--- |
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library_name: transformers |
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license: cc-by-nc-4.0 |
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base_model: tabularisai/multilingual-sentiment-analysis |
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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: models |
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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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# models |
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This model is a fine-tuned version of [tabularisai/multilingual-sentiment-analysis](https://huggingface.co/tabularisai/multilingual-sentiment-analysis) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.0935 |
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- Accuracy: 0.5621 |
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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: 5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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: cosine |
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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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| 2.795 | 1.0 | 612 | 2.1355 | 0.4118 | |
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| 1.9349 | 2.0 | 1224 | 1.9007 | 0.5098 | |
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| 1.4273 | 3.0 | 1836 | 1.8531 | 0.4771 | |
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| 1.1468 | 4.0 | 2448 | 1.9540 | 0.5490 | |
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| 0.5264 | 5.0 | 3060 | 2.3194 | 0.5556 | |
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| 0.3715 | 6.0 | 3672 | 2.4709 | 0.5686 | |
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| 0.3075 | 7.0 | 4284 | 2.8005 | 0.5556 | |
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| 0.2411 | 8.0 | 4896 | 2.9736 | 0.5490 | |
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| 0.1735 | 9.0 | 5508 | 3.0577 | 0.5621 | |
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| 0.1708 | 10.0 | 6120 | 3.0935 | 0.5621 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.2.0 |
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- Tokenizers 0.19.1 |
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