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raulgdp
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Analisis-sentimientos-xml-roberta-2

Text Classification
Transformers
PyTorch
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Safetensors
xlm-roberta
Generated from Trainer
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End of training

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  1. README.md +15 -15
  2. model.safetensors +1 -1
  3. runs/Apr29_04-43-28_7c98c5c35121/events.out.tfevents.1714365905.7c98c5c35121.552.0 +2 -2
README.md CHANGED
@@ -14,8 +14,8 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.4357
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- - Rmse: 0.4405
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  ## Model description
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@@ -46,21 +46,21 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Rmse |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | 0.2283 | 1.0 | 642 | 0.2403 | 0.5230 |
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- | 0.1594 | 2.0 | 1284 | 0.2210 | 0.4827 |
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- | 0.1136 | 3.0 | 1926 | 0.2536 | 0.4441 |
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- | 0.0833 | 4.0 | 2568 | 0.2490 | 0.4370 |
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- | 0.0536 | 5.0 | 3210 | 0.3226 | 0.4370 |
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- | 0.0439 | 6.0 | 3852 | 0.3494 | 0.4388 |
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- | 0.0336 | 7.0 | 4494 | 0.4017 | 0.4352 |
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- | 0.033 | 8.0 | 5136 | 0.4274 | 0.4388 |
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- | 0.0307 | 9.0 | 5778 | 0.4120 | 0.4334 |
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- | 0.0274 | 10.0 | 6420 | 0.4357 | 0.4405 |
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  ### Framework versions
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- - Transformers 4.40.1
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- - Pytorch 2.0.1+cu117
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- - Datasets 2.18.0
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  - Tokenizers 0.19.1
 
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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: 0.4219
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+ - Rmse: 0.4262
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Rmse |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 0.2287 | 1.0 | 642 | 0.2755 | 0.5435 |
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+ | 0.1602 | 2.0 | 1284 | 0.2480 | 0.5064 |
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+ | 0.1118 | 3.0 | 1926 | 0.3581 | 0.4811 |
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+ | 0.0756 | 4.0 | 2568 | 0.2588 | 0.4545 |
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+ | 0.0523 | 5.0 | 3210 | 0.3172 | 0.4370 |
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+ | 0.0427 | 6.0 | 3852 | 0.3430 | 0.4388 |
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+ | 0.0352 | 7.0 | 4494 | 0.3816 | 0.4243 |
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+ | 0.0314 | 8.0 | 5136 | 0.3776 | 0.4206 |
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+ | 0.0292 | 9.0 | 5778 | 0.4168 | 0.4266 |
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+ | 0.0272 | 10.0 | 6420 | 0.4219 | 0.4262 |
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  ### Framework versions
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+ - Transformers 4.40.0
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+ - Pytorch 2.2.1+cu121
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+ - Datasets 2.19.0
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  - Tokenizers 0.19.1
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