metadata
license: mit
base_model: xlm-roberta-base
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: 0.3159
- F1: 0.8543
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: 10
Training results
Training Loss | Epoch | Step | Validation Loss | F1 |
---|---|---|---|---|
0.3578 | 1.0 | 525 | 0.2204 | 0.7870 |
0.1946 | 2.0 | 1050 | 0.2063 | 0.8072 |
0.1314 | 3.0 | 1575 | 0.2037 | 0.8318 |
0.0924 | 4.0 | 2100 | 0.2161 | 0.8363 |
0.0641 | 5.0 | 2625 | 0.2472 | 0.8418 |
0.046 | 6.0 | 3150 | 0.2754 | 0.8409 |
0.0306 | 7.0 | 3675 | 0.2718 | 0.8509 |
0.0205 | 8.0 | 4200 | 0.3045 | 0.8563 |
0.0128 | 9.0 | 4725 | 0.3148 | 0.8568 |
0.0091 | 10.0 | 5250 | 0.3159 | 0.8543 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1