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--- |
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license: mit |
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base_model: FacebookAI/xlm-roberta-large |
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tags: |
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- generated_from_trainer |
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metrics: |
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- precision |
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- recall |
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- f1 |
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- accuracy |
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model-index: |
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- name: xlm-roberta-large-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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should probably proofread and complete it, then remove this comment. --> |
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# xlm-roberta-large-azsci-topics |
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This model is a fine-tuned version of [FacebookAI/xlm-roberta-large](https://huggingface.co/FacebookAI/xlm-roberta-large) 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: 0.4012 |
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- Precision: 0.9115 |
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- Recall: 0.9158 |
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- F1: 0.9121 |
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- Accuracy: 0.9158 |
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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: 16 |
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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: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| |
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| No log | 1.0 | 288 | 0.6402 | 0.8063 | 0.8073 | 0.7900 | 0.8073 | |
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| 1.0792 | 2.0 | 576 | 0.4482 | 0.8827 | 0.8776 | 0.8743 | 0.8776 | |
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| 1.0792 | 3.0 | 864 | 0.3947 | 0.8968 | 0.9019 | 0.8977 | 0.9019 | |
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| 0.3135 | 4.0 | 1152 | 0.4177 | 0.9043 | 0.9080 | 0.9047 | 0.9080 | |
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| 0.3135 | 5.0 | 1440 | 0.4012 | 0.9115 | 0.9158 | 0.9121 | 0.9158 | |
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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 | 0.846154 | 0.814815 | 0.830189 | 27 | |
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| Astronomiya | 0.666667 | 1 | 0.8 | 2 | |
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| Biologiya elmləri | 0.910891 | 0.87619 | 0.893204 | 105 | |
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| Coğrafiya | 0.888889 | 0.941176 | 0.914286 | 17 | |
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| Filologiya elmləri | 0.971098 | 0.96 | 0.965517 | 175 | |
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| Fizika | 0.769231 | 0.882353 | 0.821918 | 34 | |
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| Fəlsəfə | 0.875 | 0.5 | 0.636364 | 14 | |
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| Hüquq elmləri | 0.966667 | 1 | 0.983051 | 29 | |
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| Kimya | 0.855072 | 0.967213 | 0.907692 | 61 | |
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| Memarlıq | 0.714286 | 1 | 0.833333 | 5 | |
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| Mexanika | 0 | 0 | 0 | 4 | |
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| Pedaqogika | 0.958333 | 0.978723 | 0.968421 | 47 | |
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| Psixologiya | 0.944444 | 0.944444 | 0.944444 | 18 | |
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| Riyaziyyat | 0.921053 | 0.897436 | 0.909091 | 39 | |
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| Siyasi elmlər | 0.785714 | 0.88 | 0.830189 | 25 | |
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| Sosiologiya | 0.666667 | 1 | 0.8 | 4 | |
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| Sənətşünaslıq | 0.84 | 0.893617 | 0.865979 | 47 | |
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| Tarix | 0.933333 | 0.897436 | 0.915033 | 78 | |
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| Texnika elmləri | 0.894737 | 0.817308 | 0.854271 | 104 | |
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| Tibb elmləri | 0.935484 | 0.97973 | 0.957096 | 148 | |
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| Yer elmləri | 0.846154 | 0.846154 | 0.846154 | 13 | |
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| İqtisad elmləri | 0.973684 | 0.973684 | 0.973684 | 152 | |
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| Əczaçılıq elmləri | 0 | 0 | 0 | 4 | |
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| macro avg | 0.78972 | 0.828273 | 0.80217 | 1152 | |
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| weighted avg | 0.911546 | 0.915799 | 0.912067 | 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 |
