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README.md
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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: Analisis-sentimientos-XLM-Roberta-TASS-C
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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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# Analisis-sentimientos-XLM-Roberta-TASS-C
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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: 1.0906
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- Rmse: 1.2160
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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: 4
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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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| 1.0289 | 1.0 | 961 | 0.9978 | 0.8375 |
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| 1.0696 | 2.0 | 1922 | 1.0969 | 0.8262 |
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| 1.1009 | 3.0 | 2883 | 1.0907 | 1.2160 |
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| 1.101 | 4.0 | 3844 | 1.0909 | 1.2160 |
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| 1.1021 | 5.0 | 4805 | 1.0911 | 1.2160 |
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| 1.096 | 6.0 | 5766 | 1.0933 | 1.2160 |
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| 1.0964 | 7.0 | 6727 | 1.0909 | 1.2160 |
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| 1.0953 | 8.0 | 7688 | 1.0912 | 1.2160 |
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| 1.0929 | 9.0 | 8649 | 1.0907 | 1.2160 |
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| 1.0921 | 10.0 | 9610 | 1.0906 | 1.2160 |
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### Framework versions
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- Transformers 4.31.0
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- Pytorch 2.0.1+cu117
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- Datasets 2.18.0
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- Tokenizers 0.13.3
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