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--- |
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license: apache-2.0 |
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base_model: projecte-aina/roberta-base-ca-v2 |
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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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- precision |
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- recall |
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- f1 |
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model-index: |
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- name: FS_27_06 |
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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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# FS_27_06 |
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This model is a fine-tuned version of [projecte-aina/roberta-base-ca-v2](https://huggingface.co/projecte-aina/roberta-base-ca-v2) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1744 |
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- Accuracy: 0.966 |
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- Precision: 0.9668 |
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- Recall: 0.966 |
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- F1: 0.9660 |
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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: 8 |
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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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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:| |
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| 1.6727 | 1.0 | 375 | 1.5301 | 0.93 | 0.9351 | 0.9300 | 0.9300 | |
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| 0.2375 | 2.0 | 750 | 0.2548 | 0.958 | 0.9622 | 0.958 | 0.9583 | |
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| 0.1424 | 3.0 | 1125 | 0.1922 | 0.96 | 0.9612 | 0.9600 | 0.9599 | |
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| 0.0197 | 4.0 | 1500 | 0.1789 | 0.966 | 0.9670 | 0.966 | 0.9660 | |
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| 0.0171 | 5.0 | 1875 | 0.1744 | 0.966 | 0.9668 | 0.966 | 0.9660 | |
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### Framework versions |
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- Transformers 4.41.0 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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