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README.md
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model-index:
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- name: xlm-roberta-base-azsci-topics
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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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# xlm-roberta-base-azsci-topics
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This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on
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It achieves the following results on the evaluation set:
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- Loss: 0.5075
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- Precision: 0.8624
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- F1: 0.8645
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- Accuracy: 0.8707
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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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| 0.5184 | 4.0 | 1152 | 0.5059 | 0.8505 | 0.8559 | 0.8493 | 0.8559 |
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| 0.5184 | 5.0 | 1440 | 0.5075 | 0.8624 | 0.8707 | 0.8645 | 0.8707 |
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### Framework versions
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- Transformers 4.38.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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model-index:
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- name: xlm-roberta-base-azsci-topics
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results: []
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datasets:
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- hajili/azsci_topics
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language:
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- az
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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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# xlm-roberta-base-azsci-topics
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This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on [azsci_topics](https://huggingface.co/datasets/hajili/azsci_topics) dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5075
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- Precision: 0.8624
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- F1: 0.8645
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- Accuracy: 0.8707
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## Training procedure
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### Training hyperparameters
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| 0.5184 | 4.0 | 1152 | 0.5059 | 0.8505 | 0.8559 | 0.8493 | 0.8559 |
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| 0.5184 | 5.0 | 1440 | 0.5075 | 0.8624 | 0.8707 | 0.8645 | 0.8707 |
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### Evaluation results
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| Topic | Precision | Recall | F1 | Support |
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|:-------------------|------------:|---------:|---------:|----------:|
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| Aqrar elmlər | 0.703704 | 0.703704 | 0.703704 | 27 |
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| Astronomiya | 0 | 0 | 0 | 2 |
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| Biologiya elmləri | 0.886598 | 0.819048 | 0.851485 | 105 |
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| Coğrafiya | 0.75 | 0.705882 | 0.727273 | 17 |
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| Filologiya elmləri | 0.91954 | 0.914286 | 0.916905 | 175 |
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| Fizika | 0.710526 | 0.794118 | 0.75 | 34 |
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| Fəlsəfə | 0.7 | 0.5 | 0.583333 | 14 |
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| Hüquq elmləri | 1 | 1 | 1 | 29 |
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| Kimya | 0.75 | 0.934426 | 0.832117 | 61 |
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| Memarlıq | 1 | 0.4 | 0.571429 | 5 |
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| Mexanika | 0 | 0 | 0 | 4 |
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| Pedaqogika | 0.854545 | 1 | 0.921569 | 47 |
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| Psixologiya | 0.823529 | 0.777778 | 0.8 | 18 |
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| Riyaziyyat | 0.891892 | 0.846154 | 0.868421 | 39 |
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| Siyasi elmlər | 0.785714 | 0.88 | 0.830189 | 25 |
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| Sosiologiya | 0 | 0 | 0 | 4 |
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| Sənətşünaslıq | 0.843137 | 0.914894 | 0.877551 | 47 |
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| Tarix | 0.857143 | 0.846154 | 0.851613 | 78 |
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| Texnika elmləri | 0.803922 | 0.788462 | 0.796117 | 104 |
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| Tibb elmləri | 0.929936 | 0.986486 | 0.957377 | 148 |
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| Yer elmləri | 0.692308 | 0.692308 | 0.692308 | 13 |
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| İqtisad elmləri | 0.972603 | 0.934211 | 0.95302 | 152 |
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| Əczaçılıq elmləri | 0 | 0 | 0 | 4 |
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| macro avg | 0.690222 | 0.671213 | 0.673235 | 1152 |
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| weighted avg | 0.862363 | 0.87066 | 0.864467 | 1152 |
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### Framework versions
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- Transformers 4.38.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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