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--- |
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license: mit |
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base_model: FacebookAI/xlm-roberta-base |
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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: fm-tc-authenticv2 |
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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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# fm-tc-authenticv2 |
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This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4353 |
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- Accuracy: 0.91 |
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- Precision: 0.9121 |
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- Recall: 0.9100 |
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- F1: 0.9096 |
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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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- 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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| 1.6462 | 1.0 | 500 | 0.6519 | 0.826 | 0.8439 | 0.8260 | 0.8181 | |
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| 0.5197 | 2.0 | 1000 | 0.4539 | 0.898 | 0.9012 | 0.8980 | 0.8970 | |
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| 0.3199 | 3.0 | 1500 | 0.4931 | 0.9 | 0.9067 | 0.9 | 0.9004 | |
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| 0.1987 | 4.0 | 2000 | 0.4353 | 0.91 | 0.9121 | 0.9100 | 0.9096 | |
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| 0.0944 | 5.0 | 2500 | 0.4598 | 0.92 | 0.9223 | 0.9200 | 0.9193 | |
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### Framework versions |
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- Transformers 4.41.1 |
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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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