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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: 2.9503 |
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- F1-score: 0.6139 |
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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 | F1-score | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.9136 | 1.0 | 241 | 0.8427 | 0.6223 | |
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| 0.6957 | 2.0 | 482 | 0.9260 | 0.6046 | |
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| 0.4825 | 3.0 | 723 | 1.1533 | 0.6004 | |
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| 0.299 | 4.0 | 964 | 1.2836 | 0.5952 | |
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| 0.2142 | 5.0 | 1205 | 1.5988 | 0.6160 | |
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| 0.1312 | 6.0 | 1446 | 2.5332 | 0.5879 | |
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| 0.0899 | 7.0 | 1687 | 2.4297 | 0.6233 | |
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| 0.0414 | 8.0 | 1928 | 2.7368 | 0.6129 | |
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| 0.023 | 9.0 | 2169 | 2.9262 | 0.6160 | |
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| 0.0203 | 10.0 | 2410 | 2.9503 | 0.6139 | |
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### Framework versions |
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- Transformers 4.43.0.dev0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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