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roberta-base-fine-tuned-text-classificarion-ds-ss-customLoss

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  2. pytorch_model.bin +1 -1
README.md ADDED
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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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+ - f1
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+ - recall
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+ - accuracy
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+ - precision
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+ model-index:
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+ - name: roberta-base-fine-tuned-text-classificarion-ds-ss2
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+ results: []
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+ ---
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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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+
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+ # roberta-base-fine-tuned-text-classificarion-ds-ss2
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+
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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 the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.1475
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+ - F1: 0.7875
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+ - Recall: 0.7818
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+ - Accuracy: 0.7818
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+ - Precision: 0.8021
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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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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+ - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 5
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | F1 | Recall | Accuracy | Precision |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:--------:|:---------:|
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+ | No log | 1.0 | 442 | 0.9007 | 0.7765 | 0.7793 | 0.7793 | 0.7882 |
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+ | 0.8538 | 2.0 | 884 | 0.9423 | 0.7772 | 0.7751 | 0.7751 | 0.7954 |
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+ | 0.352 | 3.0 | 1326 | 0.9751 | 0.7842 | 0.7846 | 0.7846 | 0.7899 |
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+ | 0.1244 | 4.0 | 1768 | 1.0226 | 0.7972 | 0.7970 | 0.7970 | 0.8019 |
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+ | 0.046 | 5.0 | 2210 | 1.1475 | 0.7875 | 0.7818 | 0.7818 | 0.8021 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.33.1
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+ - Pytorch 2.0.1+cu118
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+ - Datasets 2.14.5
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+ - Tokenizers 0.13.3
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