README.md

metadata

license: apache-2.0
tags:
  - generated_from_trainer
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

roberta-base-ca-finetuned-mnli

This model is a fine-tuned version of 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

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: 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

Framework versions

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