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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_25_05 |
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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_25_05 |
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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: 0.1403 |
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- Accuracy: 0.9745 |
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- Precision: 0.9751 |
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- Recall: 0.9743 |
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- F1: 0.9744 |
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- Ratio: 0.0529 |
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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 | Ratio | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:------:| |
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| 1.7313 | 1.0 | 362 | 1.5891 | 0.9137 | 0.9237 | 0.9138 | 0.9148 | 0.0569 | |
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| 0.3284 | 2.0 | 724 | 0.2812 | 0.9529 | 0.9560 | 0.9528 | 0.9533 | 0.0490 | |
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| 0.103 | 3.0 | 1086 | 0.1580 | 0.9667 | 0.9681 | 0.9665 | 0.9663 | 0.0510 | |
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| 0.1073 | 4.0 | 1448 | 0.1532 | 0.9686 | 0.9693 | 0.9685 | 0.9686 | 0.0529 | |
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| 0.1295 | 5.0 | 1810 | 0.1403 | 0.9745 | 0.9751 | 0.9743 | 0.9744 | 0.0529 | |
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### Framework versions |
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- Transformers 4.40.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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