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--- |
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license: cc-by-sa-4.0 |
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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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model-index: |
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- name: SloBertAA_Top5_WithOOC |
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results: [] |
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datasets: |
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- gregorgabrovsek/RTVCommentsTop5UsersWithOOC |
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language: |
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- sl |
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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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# SloBertAA_Top5_WithOOC |
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This model is a fine-tuned version of [EMBEDDIA/sloberta](https://huggingface.co/EMBEDDIA/sloberta) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5616 |
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- Accuracy: 0.8946 |
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## Other related models |
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Models fine-tuned on the RTV datasets: |
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| Base model | Includes the OOC class? | 5 classes | 10 classes | 20 classes | 50 classes | 100 classes | |
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| ------------------- | ----------------------- |:---------:|:----------:|:----------:|:----------:|:-----------:| |
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| SloBERTa | Yes | [link](https://huggingface.co/gregorgabrovsek/SloBertAA_Top5_WithOOC) | [link](https://huggingface.co/gregorgabrovsek/SloBertAA_Top10_WithOOC) | [link](https://huggingface.co/gregorgabrovsek/SloBertAA_Top20_WithOOC) | [link](https://huggingface.co/gregorgabrovsek/SloBertAA_Top50_WithOOC) | [link](https://huggingface.co/gregorgabrovsek/SloBertAA_Top100_WithOOC) | |
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| SloBERTa | No | [link](https://huggingface.co/gregorgabrovsek/SloBertAA_Top5_WithoutOOC) | [link](https://huggingface.co/gregorgabrovsek/SloBertAA_Top10_WithoutOOC) | [link](https://huggingface.co/gregorgabrovsek/SloBertAA_Top20_WithoutOOC) | [link](https://huggingface.co/gregorgabrovsek/SloBertAA_Top50_WithoutOOC) | [link](https://huggingface.co/gregorgabrovsek/SloBertAA_Top100_WithoutOOC) | |
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| BERT Multilingual | Yes | [link](https://huggingface.co/gregorgabrovsek/SloBertAA_Top5_WithOOC_MultilingualBertBase) | [link](https://huggingface.co/gregorgabrovsek/SloBertAA_Top10_WithOOC_MultilingualBertBase) | [link](https://huggingface.co/gregorgabrovsek/SloBertAA_Top20_WithOOC_MultilingualBertBase) | [link](https://huggingface.co/gregorgabrovsek/SloBertAA_Top50_WithOOC_MultilingualBertBase) | [link](https://huggingface.co/gregorgabrovsek/SloBertAA_Top100_WithOOC_MultilingualBertBase) | |
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| BERT Multilingual | No | [link](https://huggingface.co/gregorgabrovsek/SloBertAA_Top5_WithoutOOC_MultilingualBertBase) | [link](https://huggingface.co/gregorgabrovsek/SloBertAA_Top10_WithoutOOC_MultilingualBertBase) | [link](https://huggingface.co/gregorgabrovsek/SloBertAA_Top20_WithoutOOC_MultilingualBertBase) | [link](https://huggingface.co/gregorgabrovsek/SloBertAA_Top50_WithoutOOC_MultilingualBertBase) | [link](https://huggingface.co/gregorgabrovsek/SloBertAA_Top100_WithoutOOC_MultilingualBertBase) | |
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Models fine-tuned on the IMDb datasets: |
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| Base model | Includes the OOC class? | 5 classes | 10 classes | 25 classes | 50 classes | 100 classes | |
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| ------------------- | ----------------------- |:---------:|:----------:|:----------:|:----------:|:-----------:| |
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| BERT Multilingual | No | [link](https://huggingface.co/gregorgabrovsek/BERT_AA_IMDB_Top5_WithoutOOC_MultilingualBertBase) |[link](https://huggingface.co/gregorgabrovsek/BERT_AA_IMDB_Top10_WithoutOOC_MultilingualBertBase) |[link](https://huggingface.co/gregorgabrovsek/BERT_AA_IMDB_Top25_WithoutOOC_MultilingualBertBase) |[link](https://huggingface.co/gregorgabrovsek/BERT_AA_IMDB_Top50_WithoutOOC_MultilingualBertBase) |[link](https://huggingface.co/gregorgabrovsek/BERT_AA_IMDB_Top100_WithoutOOC_MultilingualBertBase) | |
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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: 12 |
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- eval_batch_size: 12 |
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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 | Accuracy | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:| |
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| 0.4211 | 1.0 | 10508 | 0.3823 | 0.8700 | |
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| 0.3163 | 2.0 | 21016 | 0.3917 | 0.8772 | |
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| 0.257 | 3.0 | 31524 | 0.3771 | 0.8925 | |
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| 0.1874 | 4.0 | 42032 | 0.5059 | 0.8931 | |
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| 0.129 | 5.0 | 52540 | 0.5616 | 0.8946 | |
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### Framework versions |
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- Transformers 4.26.1 |
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- Pytorch 1.8.0 |
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- Datasets 2.10.1 |
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- Tokenizers 0.13.2 |
