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---
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license: mit
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base_model: nlptown/bert-base-multilingual-uncased-sentiment
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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: bert-base-multilingual-uncased-sentiment-finetuned-mnli
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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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# bert-base-multilingual-uncased-sentiment-finetuned-mnli
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This model is a fine-tuned version of [nlptown/bert-base-multilingual-uncased-sentiment](https://huggingface.co/nlptown/bert-base-multilingual-uncased-sentiment) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5330
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- Accuracy: 0.7902
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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: 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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| 0.5568 | 1.0 | 1080 | 0.5330 | 0.7902 |
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| 0.4713 | 2.0 | 2160 | 0.5633 | 0.7875 |
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| 0.3791 | 3.0 | 3240 | 0.6680 | 0.7824 |
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| 0.2967 | 4.0 | 4320 | 0.8067 | 0.7624 |
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| 0.2121 | 5.0 | 5400 | 0.9723 | 0.7624 |
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| 0.1511 | 6.0 | 6480 | 1.1602 | 0.7629 |
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| 0.1277 | 7.0 | 7560 | 1.4037 | 0.7736 |
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| 0.0931 | 8.0 | 8640 | 1.5388 | 0.7675 |
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| 0.0768 | 9.0 | 9720 | 2.0003 | 0.7330 |
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| 0.0457 | 10.0 | 10800 | 1.8301 | 0.7756 |
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| 0.0383 | 11.0 | 11880 | 1.9697 | 0.7701 |
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| 0.0286 | 12.0 | 12960 | 2.0533 | 0.7756 |
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| 0.0175 | 13.0 | 14040 | 2.2299 | 0.7594 |
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| 0.0101 | 14.0 | 15120 | 2.1549 | 0.7749 |
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| 0.0055 | 15.0 | 16200 | 2.2199 | 0.7703 |
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### Framework versions
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- Transformers 4.41.0
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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