metadata
license: mit
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: xlm-roberta-base-finetuned-panx-de
results: []
xlm-roberta-base-finetuned-panx-de
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: 0.1313
- F1: 0.8531
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: 72
- eval_batch_size: 72
- 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 |
|---|---|---|---|---|
| No log | 1.0 | 175 | 0.1547 | 0.8201 |
| No log | 2.0 | 350 | 0.1358 | 0.8431 |
| 0.1855 | 3.0 | 525 | 0.1313 | 0.8531 |
Framework versions
- Transformers 4.11.3
- Pytorch 2.0.0a0+1767026
- Datasets 3.0.0
- Tokenizers 0.10.3