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Multilingual-Perspectivist-NLU
irony_hi_India
Multilingual-Perspectivist-NLU/irony_hi_India
irony_hi_India is a text classification model from Multilingual-Perspectivist-NLU. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
This model is a fine-tuned version of roberta-base on part of the MultiPICo dataset. It achieves the following results on the evaluation set: - Loss: 0.0030 - Accuracy: 0.5 - Precision: 0.3103 - Recall: 0.7826 - F1: 0…
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Nov 6, 2023
- Updated
- Nov 6, 2023
- SHA
- d85e7213
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Model card
From the Hugging Face model README
irony_hi_India
This model is a fine-tuned version of roberta-base on part of the MultiPICo dataset. It achieves the following results on the evaluation set:
- Loss: 0.0030
- Accuracy: 0.5
- Precision: 0.3103
- Recall: 0.7826
- F1: 0.4444
Model description
The model is trained considering the annotation of annotators from India only, on instances in Hindi. The annotations are aggregated using majority voting and then used to train the model.
Training and evaluation data
The model has been trained on the annotation from annotators from India from the MultiPICo dataset (instances in Hindi). The data has been randomly split into a train and a validation set.
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-06
- train_batch_size: 16
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.0045 | 1.0 | 34 | 0.0042 | 0.6278 | 0.3433 | 0.5 | 0.4071 |
| 0.0041 | 2.0 | 68 | 0.0041 | 0.5389 | 0.3168 | 0.6957 | 0.4354 |
| 0.004 | 3.0 | 102 | 0.0039 | 0.5333 | 0.3137 | 0.6957 | 0.4324 |
| 0.0038 | 4.0 | 136 | 0.0037 | 0.6 | 0.3556 | 0.6957 | 0.4706 |
| 0.0039 | 5.0 | 170 | 0.0038 | 0.5833 | 0.3210 | 0.5652 | 0.4094 |
| 0.0036 | 6.0 | 204 | 0.0032 | 0.6111 | 0.3605 | 0.6739 | 0.4697 |
| 0.003 | 7.0 | 238 | 0.0030 | 0.6722 | 0.4 | 0.5652 | 0.4685 |
| 0.0024 | 8.0 | 272 | 0.0030 | 0.6778 | 0.4118 | 0.6087 | 0.4912 |
| 0.0023 | 9.0 | 306 | 0.0030 | 0.5 | 0.3103 | 0.7826 | 0.4444 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.14.1
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Nov 6, 2023
- Updated
- Nov 6, 2023