metadata
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: xlm-roberta-base-finetuned-panx-tr-en
results: []
xlm-roberta-base-finetuned-panx-tr-en
This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1897
- F1: 0.8737
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: 5e-05
- train_batch_size: 24
- eval_batch_size: 24
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.3375 | 1.0 | 788 | 0.2100 | 0.8356 |
| 0.1785 | 2.0 | 1576 | 0.1891 | 0.8557 |
| 0.1195 | 3.0 | 2364 | 0.1897 | 0.8737 |
Framework versions
- Transformers 4.36.0
- Pytorch 1.12.0+cu113
- Datasets 2.17.0
- Tokenizers 0.15.0