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--- |
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license: mit |
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tags: |
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- generated_from_trainer |
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metrics: |
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- f1 |
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base_model: xlm-roberta-base |
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model-index: |
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- name: DIPROMATS_subtask_1 |
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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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# DIPROMATS_subtask_1 |
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This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/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: 0.0338 |
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- F1: 0.9893 |
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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: 2e-05 |
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- train_batch_size: 64 |
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- eval_batch_size: 64 |
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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: 10 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| 0.2333 | 1.0 | 227 | 0.3143 | 0.8275 | |
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| 0.2264 | 2.0 | 454 | 0.2628 | 0.8729 | |
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| 0.2179 | 3.0 | 681 | 0.1320 | 0.9398 | |
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| 0.1609 | 4.0 | 908 | 0.1025 | 0.9508 | |
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| 0.1894 | 5.0 | 1135 | 0.0947 | 0.9640 | |
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| 0.0291 | 6.0 | 1362 | 0.0581 | 0.9793 | |
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| 0.0075 | 7.0 | 1589 | 0.0633 | 0.9785 | |
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| 0.1243 | 8.0 | 1816 | 0.0372 | 0.9874 | |
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| 0.0925 | 9.0 | 2043 | 0.0483 | 0.9851 | |
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| 0.1582 | 10.0 | 2270 | 0.0338 | 0.9893 | |
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### Framework versions |
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- Transformers 4.28.1 |
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- Pytorch 1.13.1 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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