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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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- f1 |
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model-index: |
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- name: scenario-KD-PR-CDF-EN-FROM-CL-D2_data-en-cardiff_eng_only_alpha-jason |
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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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# scenario-KD-PR-CDF-EN-FROM-CL-D2_data-en-cardiff_eng_only_alpha-jason |
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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: 15.6971 |
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- Accuracy: 0.4105 |
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- F1: 0.4078 |
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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: 32 |
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- eval_batch_size: 32 |
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- seed: 2222 |
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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: 30 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
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| No log | 1.72 | 100 | 12.5527 | 0.3779 | 0.3087 | |
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| No log | 3.45 | 200 | 12.9504 | 0.3757 | 0.3098 | |
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| No log | 5.17 | 300 | 12.9363 | 0.3884 | 0.3458 | |
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| No log | 6.9 | 400 | 13.3706 | 0.3951 | 0.3814 | |
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| 13.0874 | 8.62 | 500 | 13.5495 | 0.3849 | 0.3679 | |
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| 13.0874 | 10.34 | 600 | 14.1809 | 0.3739 | 0.3340 | |
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| 13.0874 | 12.07 | 700 | 13.9627 | 0.3814 | 0.3774 | |
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| 13.0874 | 13.79 | 800 | 14.6754 | 0.3907 | 0.3806 | |
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| 13.0874 | 15.52 | 900 | 14.1172 | 0.4136 | 0.4087 | |
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| 9.6129 | 17.24 | 1000 | 14.2157 | 0.3871 | 0.3752 | |
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| 9.6129 | 18.97 | 1100 | 14.6144 | 0.4030 | 0.3987 | |
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| 9.6129 | 20.69 | 1200 | 15.2951 | 0.3942 | 0.3947 | |
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| 9.6129 | 22.41 | 1300 | 15.0876 | 0.3933 | 0.3839 | |
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| 9.6129 | 24.14 | 1400 | 15.3136 | 0.4004 | 0.3987 | |
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| 7.2639 | 25.86 | 1500 | 15.5724 | 0.4061 | 0.4007 | |
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| 7.2639 | 27.59 | 1600 | 15.8778 | 0.3986 | 0.3984 | |
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| 7.2639 | 29.31 | 1700 | 15.6971 | 0.4105 | 0.4078 | |
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### Framework versions |
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- Transformers 4.33.3 |
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- Pytorch 2.1.1+cu121 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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