metadata
library_name: transformers
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: xlm-roberta-base-finetuned-panx-training-args-de-fr
results: []
xlm-roberta-base-finetuned-panx-training-args-de-fr
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: 0.2232
- F1: 0.8196
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: 14
- eval_batch_size: 14
- 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 |
|---|---|---|---|---|
| 0.4634 | 1.0 | 215 | 0.2751 | 0.7580 |
| 0.2071 | 2.0 | 430 | 0.2241 | 0.7967 |
| 0.1326 | 3.0 | 645 | 0.2232 | 0.8196 |
Framework versions
- Transformers 4.45.0
- Pytorch 2.4.1
- Datasets 3.0.1
- Tokenizers 0.20.0