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--- |
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library_name: transformers |
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license: mit |
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base_model: FacebookAI/roberta-large |
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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: roberta-large-phatic-2 |
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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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# roberta-large-phatic-2 |
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This model is a fine-tuned version of [FacebookAI/roberta-large](https://huggingface.co/FacebookAI/roberta-large) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1169 |
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- Accuracy: 0.9822 |
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- Precision: 0.9643 |
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- Recall: 1.0 |
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- F1: 0.9818 |
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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: 1e-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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 6 |
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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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| 0.5143 | 1.0 | 74 | 0.3871 | 0.8639 | 0.8816 | 0.8272 | 0.8535 | |
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| 0.3971 | 2.0 | 148 | 0.2456 | 0.9172 | 0.8602 | 0.9877 | 0.9195 | |
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| 0.1915 | 3.0 | 222 | 0.1843 | 0.9645 | 0.9518 | 0.9753 | 0.9634 | |
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| 0.0863 | 4.0 | 296 | 0.2293 | 0.9586 | 0.9205 | 1.0 | 0.9586 | |
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| 0.2564 | 5.0 | 370 | 0.0819 | 0.9763 | 0.9639 | 0.9877 | 0.9756 | |
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| 0.0002 | 6.0 | 444 | 0.1169 | 0.9822 | 0.9643 | 1.0 | 0.9818 | |
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### Framework versions |
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- Transformers 4.50.0 |
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- Pytorch 2.3.0+cu118 |
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- Datasets 2.21.0 |
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- Tokenizers 0.21.1 |
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