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--- |
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base_model: cardiffnlp/twitter-xlm-roberta-base-sentiment |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: twitter-xlm-roberta-base-sentiment |
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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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# twitter-xlm-roberta-base-sentiment |
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This model is a fine-tuned version of [cardiffnlp/twitter-xlm-roberta-base-sentiment](https://huggingface.co/cardiffnlp/twitter-xlm-roberta-base-sentiment) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6295 |
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- Rmse: 0.7173 |
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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: 16 |
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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: linear |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rmse | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| 0.7384 | 1.0 | 500 | 0.7162 | 0.7593 | |
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| 0.6322 | 2.0 | 1000 | 0.6433 | 0.7228 | |
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| 0.541 | 3.0 | 1500 | 0.6295 | 0.7173 | |
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| 0.4118 | 4.0 | 2000 | 0.7930 | 0.6804 | |
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| 0.2949 | 5.0 | 2500 | 0.8727 | 0.6756 | |
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| 0.2109 | 6.0 | 3000 | 1.2173 | 0.7211 | |
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| 0.1558 | 7.0 | 3500 | 1.5233 | 0.7249 | |
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| 0.1077 | 8.0 | 4000 | 1.6957 | 0.7162 | |
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| 0.0767 | 9.0 | 4500 | 1.8504 | 0.6982 | |
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| 0.0534 | 10.0 | 5000 | 1.9203 | 0.7068 | |
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### Framework versions |
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- Transformers 4.35.0 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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