Add README. Correct config with human readable labels.
Browse files- README.md +59 -0
- config.json +6 -6
README.md
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---
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language: "hr"
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tags:
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- text-classification
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- sentiment-analysis
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widget:
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- text: "Potpredsjednik Vlade i ministar branitelja Tomo Medved komentirao je Vladine planove za zakonsku zabranu pozdrava 'za dom spremni'."
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---
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# bcms-bertic-parlasent-bcs-ter
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Text classification model based on [`classla/bcms-bertic`](https://huggingface.co/classla/bcms-bertic) and fine-tuned on the BCS Political Sentiment dataset.
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## Fine-tuning hyperparameters
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Fine-tuning was performed with `simpletransformers`. Beforehand a brief sweep for the optimal number of epochs was performed and the presumed best value was 9.
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```python
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model_args = {
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"num_train_epochs": 9
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}
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```
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## Performance
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The same pipeline was run with two other transformer models and `fasttext` for comparison. Macro F1 scores were recorded for each of the 6 fine-tuning sessions and post festum analyzed.
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| model | average macro F1 |
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|---------------------------------|-------------------|
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| bcms-bertic-parlasent-bcs-ter | 0.7941 ±0.0101 ** |
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| EMBEDDIA/crosloengual-bert | 0.7709 ± 0.0113 |
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| xlm-roberta-base | 0.7184 ± 0.0139 |
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| fasttext + CLARIN.si embeddings | 0.6312 ± 0.0043 |
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Two best performing models have been compared with the Mann-Whitney U test. (** denotes $p<0.01$).
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## Citation
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If you use the model, please cite the following paper on which the original model is based:
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```
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@inproceedings{ljubesic-lauc-2021-bertic,
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title = "{BERT}i{\'c} - The Transformer Language Model for {B}osnian, {C}roatian, {M}ontenegrin and {S}erbian",
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author = "Ljube{\v{s}}i{\'c}, Nikola and Lauc, Davor",
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booktitle = "Proceedings of the 8th Workshop on Balto-Slavic Natural Language Processing",
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month = apr,
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year = "2021",
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address = "Kiyv, Ukraine",
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publisher = "Association for Computational Linguistics",
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url = "https://www.aclweb.org/anthology/2021.bsnlp-1.5",
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pages = "37--42",
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}
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```
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config.json
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "
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"1": "
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"2": "
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"
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"
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"
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},
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "Negative",
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"1": "Neutral",
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"2": "Positive"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"Negative": 0,
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"Neutral": 1,
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"Positive": 2
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},
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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