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--- |
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license: mit |
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base_model: xlm-roberta-large |
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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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model-index: |
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- name: clarifier-good-name-xlm-roberta |
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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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# clarifier-good-name-xlm-roberta |
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This model is a fine-tuned version of [xlm-roberta-large](https://huggingface.co/xlm-roberta-large) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3007 |
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- F1: 0.8746 |
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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: 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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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| 0.2794 | 1.0 | 553 | 0.2373 | 0.8460 | |
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| 0.208 | 2.0 | 1106 | 0.2176 | 0.8585 | |
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| 0.1915 | 3.0 | 1659 | 0.2057 | 0.8542 | |
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| 0.1662 | 4.0 | 2212 | 0.2216 | 0.8635 | |
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| 0.1472 | 5.0 | 2765 | 0.2160 | 0.8709 | |
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| 0.132 | 6.0 | 3318 | 0.2297 | 0.8703 | |
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| 0.1255 | 7.0 | 3871 | 0.2617 | 0.8709 | |
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| 0.1162 | 8.0 | 4424 | 0.2973 | 0.8738 | |
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| 0.1036 | 9.0 | 4977 | 0.2818 | 0.8713 | |
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| 0.1 | 10.0 | 5530 | 0.3007 | 0.8746 | |
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### Framework versions |
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- Transformers 4.32.0.dev0 |
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- Pytorch 2.0.0 |
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- Datasets 2.14.0 |
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- Tokenizers 0.13.3 |
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