Add evaluation results on catalonia_independence dataset (#1)

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	---
	license: apache-2.0
	language: ca
	tags:
	- catalan
	datasets:
	- catalonia_independence
	metrics:
	- accuracy
	model-index:
	- name: roberta-base-ca-finetuned-mnli
	results:
	- task:
	name: Text Classification
	type: text-classification
	dataset:
	name: catalonia_independence
	type: catalonia_independence
	args: catalan
	metrics:
	- name: Accuracy
	type: accuracy
	value: 0.7611940298507462
	- task:
	type: text-classification
	name: Text Classification
	dataset:
	name: catalonia_independence
	type: catalonia_independence
	config: catalan
	split: test
	metrics:
	- name: Accuracy
	type: accuracy
	value: 0.7208955223880597
	verified: true
	- name: Precision Macro
	type: precision
	value: 0.7532458247651523
	verified: true
	- name: Precision Micro
	type: precision
	value: 0.7208955223880597
	verified: true
	- name: Precision Weighted
	type: precision
	value: 0.7367396361532118
	verified: true
	- name: Recall Macro
	type: recall
	value: 0.6880645531209203
	verified: true
	- name: Recall Micro
	type: recall
	value: 0.7208955223880597
	verified: true
	- name: Recall Weighted
	type: recall
	value: 0.7208955223880597
	verified: true
	- name: F1 Macro
	type: f1
	value: 0.7013044744309381
	verified: true
	- name: F1 Micro
	type: f1
	value: 0.7208955223880597
	verified: true
	- name: F1 Weighted
	type: f1
	value: 0.713640086434487
	verified: true
	- name: loss
	type: loss
	value: 0.6895929574966431
	verified: true
	widget:
	- text: "Puigdemont, a l'estat espanyol: Quatre anys despr\xE9s, ens hem guanyat el\
	\ dret a dir prou"
	- text: "Llarena demana la detenci\xF3 de Com\xEDn i Ponsat\xED aprofitant que s\xF3\
	n a It\xE0lia amb Puigdemont"
	- text: "Assegura l'expert que en un 46% els catalans s'inclouen dins del que es denomina\
	\ com el doble sentiment identitari. \xC9s a dir, se senten tant catalans com\
	\ espanyols. 1 de cada cinc, en canvi, t\xE9 un sentiment excloent, nom\xE9s se\
	\ senten catalans, i un 4% sol espanyol."
	---

	# roberta-base-ca-finetuned-catalonia-independence-detector

	This model is a fine-tuned version of [BSC-TeMU/roberta-base-ca](https://huggingface.co/BSC-TeMU/roberta-base-ca) on the catalonia_independence dataset.
	It achieves the following results on the evaluation set:
	- Loss: 0.6065
	- Accuracy: 0.7612

	<details>

	## Training and evaluation data

	The data was collected over 12 days during February and March of 2019 from tweets posted in Barcelona, and during September of 2018 from tweets posted in the town of Terrassa, Catalonia.

	Each corpus is annotated with three classes: AGAINST, FAVOR and NEUTRAL, which express the stance towards the target - independence of Catalonia.

	## Training procedure

	### Training hyperparameters

	The following hyperparameters were used during training:
	- learning_rate: 2e-05
	- train_batch_size: 16
	- eval_batch_size: 16
	- seed: 42
	- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
	- lr_scheduler_type: linear
	- num_epochs: 5

	### Training results

	\| Training Loss \| Epoch \| Step \| Validation Loss \| Accuracy \|
	\|:-------------:\|:-----:\|:----:\|:---------------:\|:--------:\|
	\| No log \| 1.0 \| 377 \| 0.6311 \| 0.7453 \|
	\| 0.7393 \| 2.0 \| 754 \| 0.6065 \| 0.7612 \|
	\| 0.5019 \| 3.0 \| 1131 \| 0.6340 \| 0.7547 \|
	\| 0.3837 \| 4.0 \| 1508 \| 0.6777 \| 0.7597 \|
	\| 0.3837 \| 5.0 \| 1885 \| 0.7232 \| 0.7582 \|


	</details>

	### Model in action 🚀

	Fast usage with pipelines:

	```python

	from transformers import pipeline

	model_path = "JonatanGk/roberta-base-ca-finetuned-catalonia-independence-detector"
	independence_analysis = pipeline("text-classification", model=model_path, tokenizer=model_path)

	independence_analysis(
	"Assegura l'expert que en un 46% els catalans s'inclouen dins del que es denomina com el doble sentiment identitari. És a dir, se senten tant catalans com espanyols. 1 de cada cinc, en canvi, té un sentiment excloent, només se senten catalans, i un 4% sol espanyol."
	)
	# Output:
	[{'label': 'AGAINST', 'score': 0.7457581758499146}]

	independence_analysis(
	"Llarena demana la detenció de Comín i Ponsatí aprofitant que són a Itàlia amb Puigdemont"
	)
	# Output:
	[{'label': 'NEUTRAL', 'score': 0.7436802983283997}]

	independence_analysis(
	"Puigdemont, a l'estat espanyol: Quatre anys després, ens hem guanyat el dret a dir prou"
	)
	# Output:
	[{'label': 'FAVOR', 'score': 0.9040119647979736}]


	```

	[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/JonatanGk/Shared-Colab/blob/master/Catalonia_independence_Detector_(CATALAN).ipynb#scrollTo=j29NHJtOyAVU)


	### Framework versions

	- Transformers 4.11.3
	- Pytorch 1.9.0+cu111
	- Datasets 1.12.1
	- Tokenizers 0.10.3


	## Citation

	Thx to HF.co & [@lewtun](https://github.com/lewtun) for Dataset ;)

	> Special thx to [Manuel Romero/@mrm8488](https://huggingface.co/mrm8488) as my mentor & R.C.

	> Created by [Jonatan Luna](https://JonatanGk.github.io) \| [LinkedIn](https://www.linkedin.com/in/JonatanGk/)