lBober/my-model-SaBERT-Area
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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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base_model: VerificadoProfesional/SaBERT-Spanish-Sentiment-Analysis
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metrics:
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- accuracy
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- f1
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@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [VerificadoProfesional/SaBERT-Spanish-Sentiment-Analysis](https://huggingface.co/VerificadoProfesional/SaBERT-Spanish-Sentiment-Analysis) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.
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- Accuracy: 0.
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- F1: 0.
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- Precision: 0.
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- Recall: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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### Framework versions
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---
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license: apache-2.0
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base_model: VerificadoProfesional/SaBERT-Spanish-Sentiment-Analysis
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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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- f1
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This model is a fine-tuned version of [VerificadoProfesional/SaBERT-Spanish-Sentiment-Analysis](https://huggingface.co/VerificadoProfesional/SaBERT-Spanish-Sentiment-Analysis) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.6448
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- Accuracy: 0.5613
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- F1: 0.5575
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- Precision: 0.5778
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- Recall: 0.5613
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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| 1.6981 | 1.0 | 25 | 1.4370 | 0.4581 | 0.4302 | 0.5630 | 0.4581 |
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| 1.2551 | 2.0 | 50 | 1.3700 | 0.4839 | 0.4474 | 0.4963 | 0.4839 |
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| 0.6886 | 3.0 | 75 | 1.4792 | 0.5161 | 0.5075 | 0.5181 | 0.5161 |
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| 0.307 | 4.0 | 100 | 1.8805 | 0.4645 | 0.4496 | 0.4942 | 0.4645 |
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| 0.1402 | 5.0 | 125 | 1.8803 | 0.5290 | 0.5170 | 0.5171 | 0.5290 |
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| 0.0695 | 6.0 | 150 | 2.3137 | 0.5161 | 0.5016 | 0.5416 | 0.5161 |
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| 0.0376 | 7.0 | 175 | 2.1753 | 0.5548 | 0.5444 | 0.5536 | 0.5548 |
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| 0.0167 | 8.0 | 200 | 2.2900 | 0.5677 | 0.5566 | 0.5645 | 0.5677 |
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| 0.0089 | 9.0 | 225 | 2.4479 | 0.5419 | 0.5379 | 0.5652 | 0.5419 |
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| 0.0041 | 10.0 | 250 | 2.7057 | 0.5290 | 0.5256 | 0.5645 | 0.5290 |
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| 0.0034 | 11.0 | 275 | 2.5117 | 0.5677 | 0.5635 | 0.5727 | 0.5677 |
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| 0.0026 | 12.0 | 300 | 2.5989 | 0.5484 | 0.5437 | 0.5601 | 0.5484 |
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| 0.0022 | 13.0 | 325 | 2.5452 | 0.5677 | 0.5678 | 0.5890 | 0.5677 |
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| 0.002 | 14.0 | 350 | 2.5804 | 0.5548 | 0.5515 | 0.5717 | 0.5548 |
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| 0.0018 | 15.0 | 375 | 2.6138 | 0.5548 | 0.5504 | 0.5672 | 0.5548 |
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| 0.0017 | 16.0 | 400 | 2.5942 | 0.5548 | 0.5504 | 0.5672 | 0.5548 |
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| 0.0017 | 17.0 | 425 | 2.6194 | 0.5613 | 0.5568 | 0.5743 | 0.5613 |
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| 0.0016 | 18.0 | 450 | 2.6354 | 0.5613 | 0.5568 | 0.5743 | 0.5613 |
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| 0.0015 | 19.0 | 475 | 2.6417 | 0.5613 | 0.5568 | 0.5743 | 0.5613 |
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| 0.0015 | 20.0 | 500 | 2.6448 | 0.5613 | 0.5575 | 0.5778 | 0.5613 |
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### Framework versions
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model.safetensors
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runs/May27_07-42-07_ebad249b5c71/events.out.tfevents.1716795728.ebad249b5c71.1052.0
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training_args.bin
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