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activitat-finetuned-wikicat
rcodina/activitat-finetuned-wikicat
activitat-finetuned-wikicat is a text classification model from rcodina. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- roberta
- Access
- Public
- Created
- Mar 24, 2024
- Updated
- Mar 24, 2024
- SHA
- d99d9227
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Base models
Datasets
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
activitat-finetuned-wikicat
This model is a fine-tuned version of projecte-aina/roberta-base-ca-v2 on the projecte-aina/WikiCAT_ca dataset. It achieves the following results on the evaluation set:
- Loss: 2.1061
- Accuracy: 0.504
- F1: 0.4229
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 5
- eval_batch_size: 5
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 1.0 | 100 | 2.2088 | 0.392 | 0.2614 |
| No log | 2.0 | 200 | 2.1061 | 0.504 | 0.4229 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- apache-2.0
- Created
- Mar 24, 2024
- Updated
- Mar 24, 2024