metadata
license: mit
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: xlm-roberta-base-finetuned-IberAuTexTification2024-7030-4epo-task1-v2
results: []
xlm-roberta-base-finetuned-IberAuTexTification2024-7030-4epo-task1-v2
This model is a fine-tuned version of FacebookAI/xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2324
- F1: 0.9594
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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.1349 | 1.0 | 4798 | 0.3598 | 0.9240 |
| 0.0878 | 2.0 | 9596 | 0.2705 | 0.9473 |
| 0.0536 | 3.0 | 14394 | 0.2324 | 0.9594 |
| 0.0233 | 4.0 | 19192 | 0.3635 | 0.9527 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.13.3