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End of training
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README.md
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---
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license: apache-2.0
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base_model: PlanTL-GOB-ES/roberta-base-bne
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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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- precision
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- recall
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model-index:
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- name: roberta-model-mesa-ayuda
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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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# roberta-model-mesa-ayuda
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This model is a fine-tuned version of [PlanTL-GOB-ES/roberta-base-bne](https://huggingface.co/PlanTL-GOB-ES/roberta-base-bne) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2925
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- Accuracy: 0.9356
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- F1: 0.9346
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- Precision: 0.9356
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- Recall: 0.9356
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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: 26
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- eval_batch_size: 26
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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: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|
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| 0.5506 | 1.0 | 3681 | 0.5001 | 0.8574 | 0.8523 | 0.8607 | 0.8574 |
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| 0.295 | 2.0 | 7362 | 0.3620 | 0.8970 | 0.8937 | 0.8965 | 0.8970 |
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| 0.1553 | 3.0 | 11043 | 0.3022 | 0.9192 | 0.9184 | 0.9195 | 0.9192 |
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| 0.0919 | 4.0 | 14724 | 0.2932 | 0.9311 | 0.9296 | 0.9300 | 0.9311 |
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| 0.042 | 5.0 | 18405 | 0.2925 | 0.9356 | 0.9346 | 0.9356 | 0.9356 |
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### Framework versions
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- Transformers 4.39.3
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- Pytorch 2.2.1+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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