metadata
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: xlm-roberta-ft-news-class2
results: []
xlm-roberta-ft-news-class2
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.8010
- Accuracy: 0.5115
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: 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 |
|---|---|---|---|---|
| 1.9938 | 1.0 | 10477 | 1.9427 | 0.4726 |
| 1.8313 | 2.0 | 20954 | 1.8492 | 0.4938 |
| 1.7042 | 3.0 | 31431 | 1.8031 | 0.5019 |
| 1.5338 | 4.0 | 41908 | 1.7811 | 0.5123 |
| 1.3984 | 5.0 | 52385 | 1.8010 | 0.5115 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.0
- Datasets 2.14.4
- Tokenizers 0.13.3