xlm-roberta-base-finetuned-told-br
This model is a fine-tuned version of xlm-roberta-base on the told-br dataset. It achieves the following results on the evaluation set:
- Loss: 0.4925
- Accuracy: 0.7457
- F1: 0.7452
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: 64
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.5935 | 1.0 | 263 | 0.4970 | 0.7338 | 0.7350 |
| 0.4797 | 2.0 | 526 | 0.4925 | 0.7457 | 0.7452 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for joaollm/xlm-roberta-base-finetuned-told-br
Base model
FacebookAI/xlm-roberta-baseDataset used to train joaollm/xlm-roberta-base-finetuned-told-br
Evaluation results
- Accuracy on told-brvalidation set self-reported0.746
- F1 on told-brvalidation set self-reported0.745