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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_normal |
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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_normal |
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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: 0.1484 |
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- Accuracy: 0.97 |
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- Precision: 0.9713 |
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- Recall: 0.97 |
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- F1: 0.9701 |
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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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| 1.7048 | 1.0 | 375 | 1.5380 | 0.948 | 0.9492 | 0.9480 | 0.9480 | |
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| 0.1844 | 2.0 | 750 | 0.2731 | 0.954 | 0.9597 | 0.9540 | 0.9550 | |
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| 0.1253 | 3.0 | 1125 | 0.1484 | 0.97 | 0.9713 | 0.97 | 0.9701 | |
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| 0.0213 | 4.0 | 1500 | 0.1617 | 0.97 | 0.9715 | 0.9700 | 0.9701 | |
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| 0.0175 | 5.0 | 1875 | 0.1521 | 0.974 | 0.9749 | 0.974 | 0.9740 | |
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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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