metadata

license: apache-2.0
base_model: projecte-aina/roberta-base-ca-v2
tags:
  - generated_from_trainer
datasets:
  - wiki_cat_ca
metrics:
  - accuracy
  - f1
model-index:
  - name: activitat-finetuned-wikicat
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: projecte-aina/WikiCAT_ca
          type: wiki_cat_ca
          config: wikiCAT_ca
          split: validation
          args: wikiCAT_ca
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.504
          - name: F1
            type: f1
            value: 0.42287883344725447

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