metadata
license: mit
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: xlm-roberta-base-finetuned-panx-all
results: []
xlm-roberta-base-finetuned-panx-all
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: 0.1839
- F1: 0.8545
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 |
---|---|---|---|---|
0.2951 | 1.0 | 739 | 0.1885 | 0.8196 |
0.153 | 2.0 | 1478 | 0.1880 | 0.8391 |
0.0995 | 3.0 | 2217 | 0.1839 | 0.8545 |
Framework versions
- Transformers 4.16.2
- Pytorch 2.2.1+cu121
- Datasets 1.16.1
- Tokenizers 0.15.2